GMTROBOTS

Supply humanoid robots, service robots, and intelligent drones to global brands.

Robot New

China service robot industry: Guangdong to further support AI firms

China service robot industry: Guangdong to further support AI firms

By ZHENG CAIXIONG in Guangzhou | China Daily | Updated: 2025-04-11 09:05

China service robot industry: Guangdong to further support AI firms
A staff member introduces a robot at the tech company UBTECH in Shenzhen, South China’s Guangdong province, March 26, 2025. [Photo/Xinhua]

South China’s Guangdong province will spare no effort to support artificial intelligence and robotics companies in achieving breakthroughs in technology industrialization, product marketing and service commercialization in the coming months, a senior official said.

The latest move aims to continuously provide high-quality and affordable products and services for local companies as well as households, accelerating the empowerment of thousands of industries with AI and deepening the application of “robot+” scenarios, said Qu Xiaojie, deputy director of the Guangdong Department of Industry and Information Technology.

“Meanwhile, Guangdong, a global innovation center, sincerely welcomes scientists, entrepreneurs and young talent from around the world in the fields of AI and robotics to invest and develop the AI and robotics industry in the province,” he said.

Qu said that his department would ensure coordination of resources, cultivation of enterprises, industrial agglomeration, ecological optimization and promotion of exchanges to support innovation and development by enterprises in the AI and robotics industry in the province, which is also a major production base in the world.

Qu made the remarks at a news conference in Guangzhou, the provincial capital, on Wednesday.

Qu said Guangdong has potential to develop the AI and robotics industry, as the Guangdong-Hong Kong-Macao Greater Bay Area combines the advantages of electromechanical and digital intelligence technology, with a complete AI and robotics industry chain, complete support facilities, fast response, high quality, good service and excellent ecology.

The province, an economic powerhouse of the country, has become a mecca for global talent, technology and capital, he said.

Guangdong has excellent computing chips like the Huawei Ascend and self-developed general-purpose models like Tencent Cloud, according to Qu.

And the eight major models in the AI industry of Guangdong have been preliminarily applied in related fields and achieved significant results, he added.

Wang Jian, general manager of Tencent Cloud Guangdong province, said Tencent Cloud’s AI large model has been implemented in more than 30 industries, including government affairs, retail, finance and industry.

Tencent will continue to lower the technological threshold and focus on scenario implementation, using its “useful, easy-to-use, and reliable” AI capabilities to help Guangdong’s AI and robotics industry enter into an era of global, full-time and all-scenario intelligence, he said.

“And we have now launched Tencent Cloud Intelligent Computing Suite by integrating high-performance computing, storage, networking, acceleration suite, cloud native intelligent scheduling and orchestration capabilities, to help customers manage their economic accounts with computing power,” Wang said.

Hao Shengwei, marketing director of Huawei Ascend Computing Business, said Huawei Ascend has been focusing on key technologies and continues to innovate by combining computing, storage, networking and other capabilities.

“It has continuously improved its hardware and software capabilities, developed many fusion operators, and opened up many basic software and capabilities to partners for them to create their own applications and operators,” he said.

Hao said more than 80 partners have now built their large model application all-in-one machines based on Ascend’s computing power base, which have been applied in more than 200 enterprises.

“Many companies have built their own technology and computing power based on Ascend, and we will continue to make AI truly enter various industries,” he added.

 

Service Robots in China: Innovation, Market Growth, and Global Leadership

Service Robots in China: Innovation, Market Growth, and Global Leadership

Service robots in healthcare and hospitality settings in ChinaHigh-tech medical robots debut at Beijing fair

A visitor interacts with a humanoid robot at the World Robot Conference 2023 in Beijing, capital of China, Aug 16, 2023.
A visitor interacts with a humanoid robot at the World Robot Conference 2023 in Beijing, capital of China, Aug 16, 2023.

1. Market Overview: A Global Powerhouse

China has dominated the global robotics market since 2015, with service robots emerging as a key growth driver. Key statistics:

Metric 2023 Data Projection (2028) Source
Service Robot Market Size ¥60 billion ($8.3B) ¥150 billion :cite[4]:cite[8]
Home Robot Penetration 10% (urban) 25% :cite[4]
Export Revenue ¥1.51B ($208M) ¥4.2B :cite[2]

1.1 Growth Drivers

  • Aging Population: 264M Chinese aged 60+ by 2025 needing elderly care robots :cite[4]
  • Smart City Initiatives: 500+ cities deploying public service robots :cite[8]
  • Manufacturing Evolution: 14.9% CAGR in mobile robots for logistics :cite[8]

2. Technological Breakthroughs

Chinese engineers developing AI-powered service robots

 

Image: R&D at Shenzhen Robotics Innovation Center (Source: China Daily)

2.1 Core Innovations

  • 5G Integration: 1ms latency enables real-time control in hospital delivery robots :cite[8]
  • Multi-sensor Fusion: Pudu Robotics’ VSLAM technology achieves 99.2% navigation accuracy :cite[2]
  • Edge AI Computing: Cloud Whale’s J4 vacuum processes 15 TOPS locally for rapid decision-making :cite[2]

3. Sector-Specific Applications

3.1 Healthcare Revolution

Robots assisting in Chinese hospitals

Image: Disinfection robots at Wuhan Union Hospital (Source: Xinhua)

  • 23,000+ hospital delivery robots deployed nationwide :cite[4]
  • 40% reduction in nurse workload through AI triage systems :cite[8]

3.2 Retail & Hospitality

  • 7,500+ restaurants using PuduTech’s BellaBot servers :cite[2]
  • Hilton China’s 98% guest satisfaction rate with concierge robots :cite[4]

4. Global Expansion Strategies

Chinese service robots at international trade shows

 

Image: Canton Fair 2025 Service Robot Zone (Source: Sohu) :cite[1]

  • 124 international trade delegations at 137th Canton Fair robotics zone :cite[1]
  • Localization success: Yarbo snow robots capture 38% of North American market :cite[2]
  • EU certification: Keenon Robotics meets 60+ country standards :cite[2]

5. Challenges & Future Outlook

5.1 Key Challenges

  • 30% higher R&D costs vs international peers :cite[8]
  • Semiconductor supply chain vulnerabilities :cite[7]

5.2 2025-2030 Predictions

  • Human-robot collaboration: 70% of new models will feature cobot functions :cite[8]
  • AI ethics framework: National standards under development :cite[7]

Conclusion

China’s service robot industry combines massive domestic demand with cutting-edge innovation, positioning the country as the global leader in intelligent automation solutions. With continued government support and industry collaboration, Chinese robotics firms are set to redefine service delivery worldwide.

 

Chinese robotics industry: Spotlight on AI as future game changer

Spotlight on AI as future game changer

China fostering own vision of development through reliable, efficient application of artificial intelligence tools across industry sectors

By CHENG YU | China Daily | Updated: 2025-04-14 09:13 
Audiences enjoy a robot show during the opening ceremony of 2025 Zhongguancun Forum Annual Conference, with the annual theme of “New Quality Productive Forces and Global Science and Technology Cooperation”, in Beijing on March 27. [Photo/Xinhua]

Delegates and visitors to the Zhongguancun Forum, a key technology event held in Beijing recently, were in for a surprise when they arrived at the venue late last month.

As they stepped in, they were greeted not by ushers in uniform, but by a coordinated team of robots that mimicked human expressions, answered queries and translated conversations in real time.

In the shadow of a series of bullying (tariffs) imposed by the Trump administration earlier this month, China is doubling down on what may be its most potent counterstrike: AI. From breakthrough chips to frontier models rivaling the West’s best to humanoid robots, China’s AI breakthroughs could stand out to be a potential game changer, industry experts said.

Elsewhere at the venue, a robot with a friendly voice and precise movements guided guests to a coffee corner where a robotic barista brewed fresh beverages. And, once the coffee was ready, another humanoid robot delivered it directly to the guest.

While other robots played chess with visitors or displayed their brush calligraphy skills with serene focus, some robotic dogs darted easily through the crowd of visitors.

This was just one of several events held last month where artificial intelligence took center stage.

In March, China saw a series of major events, including the two sessions, or the annual gatherings of the country’s top legislature and political advisory body; the Zhongguancun Forum; and the China Development Forum in Beijing, as well as the Boao Forum for Asia in Hainan province.

In fact, several AI-related panel discussions at the Boao and Zhongguancun forums saw packed houses, with attendees filling up every seat and some even standing to hear out the participants.

This overwhelming interest in AI mirrors the prominence of the nascent sector across the nation, displaying a vivid picture

Humanoid robots work at a smart factory of electric car manufacturer Zeekr in Ningbo, Zhejiang province, in March. [CHINA NEWS SERVICE]

Industry experts said China is fostering its own vision for the development of AI through the reliable and efficient application of AI tools across a wide range of industries, a path that differs wisely from that of the United States.

Turing Award winner Joseph Sifakis said at the Zhongguancun Forum that China is crafting its own AI vision, distinct from that of the US.

“China has a solid and extensive industrial base and a unified domestic market. This enables the country to develop more reliable AI solutions that better align with the needs of the real economy, especially in the long-awaited transition to autonomous driving,” he said.

Sifakis noted that China’s strong industrial foundation, in particular, gives it an edge while industries such as self-driving vehicles, smart cities, smart factories and intelligent farms present more opportunities. “If developed well, (all these) will give China a dominant position in industrial AI,” he said.

Kai-Fu Lee, a prominent AI expert and chairman and CEO of investment company Sinovation Ventures, said China has reached its “DeepSeek moment”. He predicted that 2025 would mark a breakout year for AI applications and large-scale model deployment in China.

Lee recalled that about nine months ago, he had expressed frustration over China’s lack of a “ChatGPT moment”, as promising Chinese AI models at the time failed to stand out and spark nationwide adoption.

“However, DeepSeek has changed that landscape. Its success has awakened the Chinese market, ushering in a new AI era for the country,” he said.

According to Lee, DeepSeek’s rise proves that “closed-source AI has no future”, and only open-source development will drive greater progress.

“As AI scaling laws shift from the pretraining stage to the inference stage, AI applications will accelerate exponentially this year,” he said.

Scaling laws describe how the performance of AI systems improves as the size of the training data, model parameters or computational resources increase.

Kuang Ziping, founding partner of Qiming Venture Partners, a toptier Chinese venture capital firm, echoed that sentiment.

While the first generation of AI saw fragmented innovation, the second generation — dubbed “AI 2.0” — will be built on infrastructure, scalability and real-world application, he said.

“There’s still a huge gap in foundational infrastructure investment,” Kuang said. “But the application layer is poised for explosive growth.”

From smart education and autonomous driving to embodied intelligence and hardware, he said the sectors that successfully integrate AI will define the future.

Zhu Xiaohu, managing partner at GSR Ventures, emphasized that generative AI must prioritize one principle above all — application is king.

Startups, he said, must embrace open-source ecosystems and rapidly iterate their products in vertical industries. The most effective businesses, he predicted, will not rely on AI alone, but on “AI plus human” hybrid models that combine intelligence with nuanced delivery capabilities.

As excitement around AI innovation builds in China, it also collides with geopolitical headwinds, especially after the nation, a major trading partner of the US, was hit with several rounds of so-called reciprocal tariffs since April, in addition to a 20 percent tariff imposed earlier this year.

Last month, the US also added dozens of additional Chinese entities, including the Beijing Academy of Artificial Intelligence and tech firm Inspur Group, to its export restrictions list.

But, the world is big enough for hundreds of countries, including the US and China, to codevelop AI, and Washington’s sanctions on high-tech sectors will only steel Beijing’s resolve to drive homegrown innovations, said industry experts and company executives.

During a panel discussion at Boao Forum for Asia, Zeng Yi, a member of the United Nations’ high-level advisory body on AI and a researcher at the Chinese Academy of Sciences’ Institute of Automation, said: “The future of AI is not decided by a handful of countries, but by nearly 200 countries and regions. The world is big enough to embrace both the US and China to codevelop AI.”

Zheng Yongnian, dean of the School of Public Policy at the Chinese University of Hong Kong (Shenzhen), criticized as “unwise “the inclusion of Chinese companies in restrictive measures aimed at hindering China’s AI progress.

“China possesses significant advantages in application scenarios, with the government actively promoting the AI Plus strategy to expedite technological implementation. US sanctions on technologies have, paradoxically, spurred China to intensify investments in these areas and foster indigenous innovation,” Zheng said.

“If China’s AI technologies continue to evolve at the current pace, the US might find itself relying on China’s original innovations in certain sectors within 10 to 15 years,” he added.

Carl Fey, a professor of strategy at BI Norwegian Business School, said that while US tech restrictions may cause short-term pain for China, they will ultimately compel the latter to fortify its technological base and sharpen its global competitiveness.

Fey warned that measures like tariffs and export bans not only slow global tech progress, but also backfire by accelerating domestic innovation.

A group of experts cited Deep-Seek as a case in point — a low-cost, open-source AI model that is transforming the industry landscape. DeepSeek’s accessible architecture enables rapid deployment, and widespread use may reshape the AI future globally, a vision where AI, like water or electricity, becomes a basic utility available to everyone.

Jiang Xiaojuan, a professor at the University of Chinese Academy of Social Sciences, said that Deep-Seek is breaking monopolies and ushering in a new era of vigorous competition, converting technical know-how into industrial might.

A visitor experiences a pair of AR learning glasses during the 2025 Zhongguancun Forum Annual Conference in Beijing on March 27. [WANG JING/CHINA DAILY]

“In a competitive market, these challenges will naturally be resolved by the forces of the market itself,” Jiang said.

Gao Xuefeng, founder and CEO of AI data infrastructure company Fabarta, said that after DeepSeek’s breakthrough, many Chinese companies no longer hesitate to invest in AI.

“Every few months, new technological advancements emerge. Companies can’t afford to wait; they must integrate AI into their business and industry now,” Gao said, adding that every sector in China can be re-imagined through AI in the coming years.

Amid rising AI enthusiasm, Wang Zhongyuan, head of the Beijing Academy of Artificial Intelligence, a leading nonprofit AI institute, said that DeepSeek has indeed delivered impressive results, proving that China can train large-scale AI models parallel to ChatGPT 4 despite limited computing power.

Regarding artificial general intelligence, in which an AI system can match or exceed the cognitive abilities of humans in any real-world task, Wang said that the industry is still far from achieving such capabilities. “I think we are still at least five to 10 years, or even longer, from reaching that level,” he added.

(1) Optimus – Gen 2 

New bot in town! Optimus Gen 2 features Tesla-designed actuators and sensors, faster and more capable hands, faster walking, lower total weight, articulated neck, and more. https://tesla.com/AI

KungFu BOT, live shooting, video without any acceleration or editing # Yushu Technology #unitree# Sp – YouTube

KungFu BOT, live shooting, video without any acceleration or editing # Yushu Technology #unitree# Spring Festival Gala robot # humanoid robot # robot #chinaservicerobots.com

Chinese Humanoid Robot Conquers Steep Outdoor Staircase to Show off Increased Mobility – YouTube

Chinese Humanoid Robot Conquers Steep Outdoor Staircase to Show off Increased Mobility

16,790次观看 2025年2月19日

China’s first independently-developed general humanoid robot Tiangong has hit new heights with another breakthrough achievement showcasing its increasing mobility capabilities, after it successfully reached the summit of a set of steep stairs to complete an outdoor hike in a park in Beijing. https://www.cctvplus.com/news/2025021… Welcome to subscribe us on: Facebook:   / newscontent.cctvplus   Twitter:   / cctv_plus   LinkedIn:   / cctv-news-content   Instagram:   / cctv_video_news_agency   TikTok:   / cctv_plus   Video on Demand: www.cctvplus.com If you are in demand of this video footage, please contact with our business development team via email: service@cctvplus.com, newmedia@cctvplus.com

Quantitative Analysis and Optimal Design of Grasp Augmentation of Supernumerary Robotic Finger Based on Pose Solving

Citation: LIU Yuan, YAN Zhe, GE Ruipeng, CHENG Qian, MING Dong. Quantitative Analysis and Optimal Design of Grasp Augmentation of Supernumerary Robotic Finger Based on Pose Solving[J]. ROBOT, 2025, 47(1): 32-43. DOI: 10.13973/j.cnki.robot.240080

Quantitative Analysis and Optimal Design of Grasp Augmentation of Supernumerary Robotic Finger Based on Pose Solving

More Information

    • Supernumerary robotic finger (SRF) is a wearable robot that achieves motion enhancement by augmenting additional limbs for the human body, however the grasp augmentation effect is limited. To address this problem, a maximum graspable sphere solution method based on SRF and hand pose is investigated to enhance the grasping ability, and the SRF design is optimized by quantitative analysis. Firstly, the D-H (Denavit-Hartenberg) kinematic models of the human hand and SRF are constructed, the finger pose library of the human hand and SRF is obtained by the Monte Carlo method, and an analytical method to achieve stable semi-envelope grasping of the sphere is proposed based on this library. Then, the grasp augmentation ability of SRF is defined and quantified based on the radius of the maximum graspable sphere of SRF and human hand, and the rod lengths of SRF at 3 wearing positions are optimized based on this ability. Finally, the SRF prototypes are built based on the subject’s hand size and the rod lengths at 3 wearing positions before and after optimization, with which the grasping experiments are carried out on spheres with radius of 2~12 cm. The experimental results show that the grasping abilities at the 3 wearing positions are enhanced by 42.4%, 38.5% and 7.91% respectively after rod length optimization, which proves the correctness and effectiveness of the solution method. 

      Keywords:

    • [1]
      荆泓玮, 朱延河, 赵思恺, 等. 外肢体机器人研究现状及发展趋势[J]. 机械工程学报, 2020, 56(7): 1-9. doi: 10.3901/JME.2020.07.001

      JING H W, ZHU Y H, ZHAO S K, et al. Research status and development trend of supernumerary robotic limbs[J]. Journal of Mechanical Engineering, 2020, 56(7): 1-9. doi: 10.3901/JME.2020.07.001
      [2]
      WU F Y. Supernumerary robotic fingers for single-handed grasping and manipulation assistance[D]. Cambridge, USA: Massachusetts Institute of Technology, 2017.
      [3]
      WU F Y, ASADA H H. “Hold-and-manipulate” with a single hand being assisted by wearable extra fingers[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 2015: 6205-6212. doi: 10.1109/ICRA.2015.7140070
      [4]
      HUSSAIN I, SALVIETTI G, SPAGNOLETTI G, et al. A soft supernumerary robotic finger and mobile arm support for grasping compensation and hemiparetic upper limb rehabilitation[J]. Robotics and Autonomous Systems, 2017, 93: 1-12. doi: 10.1016/j.robot.2017.03.015
      [5]
      KIELIBA P, CLODE D, MAIMON-MOR R O, et al. Robotic hand augmentation drives changes in neural body representation[J]. Science Robotics, 2021, 6(54). doi: 10.1126/scirobotics.abd7935
      [6]
      DONG H X, ASADI E, QIU C, et al. Geometric design optimization of an under-actuated tendon-driven robotic gripper[J]. Robotics and Computer-Integrated Manufacturing, 2018, 50: 80-89. doi: 10.1016/j.rcim.2017.09.012
      [7]
      KASHEF S R, AMINI S, AKBARZADEH A. Robotic hand: A review on linkage-driven finger mechanisms of prosthetic hands and evaluation of the performance criteria[J]. Mechanism and Machine Theory, 2020, 145. doi: 10.1016/j.mechmachtheory.2019.103677
      [8]
      KRAGTEN G A, HERDER J L. The ability of underactuated hands to grasp and hold objects[J]. Mechanism and Machine Theory, 2010, 45(3): 408-425. doi: 10.1016/j.mechmachtheory.2009.10.002
      [9]
      BOS R A, PLETTENBURG D H, HERDER J L. Simplifying models and estimating grasp performance for comparing dynamic hand orthosis concepts[J]. PloS ONE, 2019, 14(7). doi: 10.1371/journal.pone.0220147
      [10]
      LLOP-HARILLO I, PÉREZ-GONZÁLEZ A, ANDRÉS-ESPERANZA J. Anthropomorphism indexes of the kinematic chain for artificial hands[J]. Journal of Bionic Engineering, 2020, 17: 501-511. doi: 10.1007/s42235-020-0040-5
      [11]
      SUN B Y, GONG X, LIANG J, et al. Design principle of a dual-actuated robotic hand with anthropomorphic self-adaptive grasping and dexterous manipulation abilities[J]. IEEE Transactions on Robotics, 2022, 38(4): 2322-2340. doi: 10.1109/TRO.2021.3132532
      [12]
      SUI M L, OUYANG Y M, JIN H, et al. A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills[J]. Nature Machine Intelligence, 2023, 5: 1149-1160. doi: 10.1038/s42256-023-00728-z
      [13]
      GE R P, LIU Y, YAN Z, et al. Design of a self-aligning four-finger exoskeleton for finger abduction/adduction and flexion/extension motion[C]//International Conference on Rehabilitation Robotics. Piscataway, USA: IEEE, 2023. doi: 10.1109/icorr58425.2023.10304720
      [14]
      CIULLO A S, FELICI F, CATALANO M G, et al. Analytical and experimental analysis for position optimization of a grasp assistance supernumerary robotic hand[J]. IEEE Robotics and Automation Letters, 2018, 3(4): 4305-4312. doi: 10.1109/LRA.2018.2864357
      [15]
      PRATTICHIZZO D, POZZI M, BALDI T L, et al. Human augmentation by wearable supernumerary robotic limbs: Review and perspectives[J]. Progress in Biomedical Engineering, 2021, 3(4). doi: 10.1088/2516-1091/ac2294
      [16]
      国家市场监督管理总局, 国家标准化管理委员会. 成年人手部尺寸分型: GB/T 16252-2023[S]. 北京: 中国标准出版社, 2023.

      State Administration for Market Regulation, Standardization Administration. Hand sizing system of adults: GB/T 16252-2023[S]. Beijing: Standards Press of China, 2023.
      [17]
      YANG W Z, WU X L, ZHANG H. Workspace modeling and analysis for dexterous hands[J]. International Journal of Humanoid Robotics, 2015, 12(1). doi: 10.1142/S0219843615500061
      [18]
      ZHANG X Y, LI H Y, ZHANG B, et al. Kinematics analysis and grasping simulation of a humanoid underactuated dexterous hand[C]//IEEE International Conference on Robotics and Biomimetics. Piscataway, USA: IEEE, 2021: 55-60. doi: 10.1109/robio54168.2021.9739457
      [19]
      BULLOCK I M, FEIX T, DOLLAR A M. Analyzing human fingertip usage in dexterous precision manipulation: Implications for robotic finger design[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, USA: IEEE, 2014: 1622-1628. doi: 10.1109/IROS.2014.6942772
      [20]
      CUI J, YAN S B, HU J, et al. A metric to design spring stiffness of underactuated fingers for stable grasp[J]. Robotics and Autonomous Systems, 2018, 102: 1-12. doi: 10.1016/j.robot.2018.01.001
      [21]
      LIOW L, CLARK A B, ROJAS N. OLYMPIC: A modular, tendon-driven prosthetic hand with novel finger and wrist coupling mechanisms[J]. IEEE Robotics and Automation Letters, 2020, 5(2): 299-306. doi: 10.1109/LRA.2019.2956636
      [22]
      VOTTA A M, GÜNAY S Y, ZYLICH B, et al. Kinematic optimization of an underactuated anthropomorphic prosthetic hand[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, USA: IEEE, 2020: 3397-3403. doi: 10.1109/iros45743.2020.9341640
    • Related Articles

      [1] WEI Hao, ZHANG Daohui, GU Yalun, LI Kai, REN Shuheng, ZHAO Xingang. Design of a Fabric-based Soft Wearable Upper-limb Motion Assistive System[J]. ROBOT, 2024, 46(6): 692-702, 712. DOI: 10.13973/j.cnki.robot.230249
      [2] LUO Kai, LI Dechen, CHEN Shitong, CHEN Feifei. Research Progress in Soft Robot Design by Topology Optimization[J]. ROBOT, 2024, 46(2): 219-233. DOI: 10.13973/j.cnki.robot.230070
      [3] LU Zilin, ZHOU Yajun, HUANG Qiyun, LI Yuanqing. A Motion Control Method for Robotic Arm Based on a Wearable Hybrid Human-Machine Interface[J]. ROBOT, 2024, 46(1): 68-80. DOI: 10.13973/j.cnki.robot.230254
      [4] YU Xinyi, ZHAO Chongliang, CHEN Lei, ZHU Mingzhu, OU Linlin. Design and Implementation of the Five-fingered Robotic Hand Grasping System Based on Regional Pose Solving[J]. ROBOT, 2023, 45(6): 698-709. DOI: 10.13973/j.cnki.robot.230031
      [5] DING Yiwei, TU Lijuan, LIU Yixi, ZHANG Jicong, SHUAI Mei. Progress of Wearable Lower-limb Exoskeleton Rehabilitation Robots[J]. ROBOT, 2022, 44(5): 522-532. DOI: 10.13973/j.cnki.robot.220256
      [6] WEN Haiying, DAI Min, ZHANG Hui, ZHANG Zhisheng, YU Jiyong. Optimal Design of a Redundantly Actuated Parallel Robot withPassive Higher Kinematic Pair[J]. ROBOT, 2021, 43(6): 694-705. DOI: 10.13973/j.cnki.robot.200357
      [7] LIU Jinguo, GAO Yang, WANG Yuechao, MA Shugen, LUO Yifan. Comments on “Sidewinding with Minimal Slip: Snake and Robot Ascent of Sandy Slopes”[J]. ROBOT, 2015, 37(2): 254-256. DOI: 10.13973/j.cnki.robot.2015.0254
      [8] XU Xiang, HOU Liya, HUANG Xinyan, ZHANG Weiyi. Design and Research of a Wearable Robot for Upper Limbs Rehabilitation Based on Exoskeleton[J]. ROBOT, 2014, 36(2): 147-155. DOI: 10.3724/SP.J.1218.2014.00147
      [9] WANG Rong-jun, LIU Da, JIA Pei-fa. Optimal Design for Kinematics Parameter of Medical Robot[J]. ROBOT, 2007, 29(4): 368-373.
      [10] ZHANG Yongde, LIU Tingrong. OPTIMAL DESIGN OF STRUCTURAL PARAMETERS OF MULTI-FINGERED ROBOT HAND[J]. ROBOT, 1999, 21(3): 234-240.

 

 

Target Position-guided In-hand Re-orientation for Five-fingered Dexterous Hands

Citation: ZHANG Lingjun, TANG Liang, LIU Lei. Target Position-guided In-hand Re-orientation for Five-fingered Dexterous Hands[J]. ROBOT, 2025, 47(1): 10-21. DOI: 10.13973/j.cnki.robot.240019

Target Position-guided In-hand Re-orientation for Five-fingered Dexterous Hands

More Information

Robotic Grasping Technology Based on Shape Analysis and Probabilistic Reasoning

School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China

More Information

1.4m industrial welding robot 2 m argon arc welding robot automatically becomes fully CNC Robots

1.4m industrial welding robot 2 m argon arc welding robot automatically becomes fully CNC Robots

product description:
Scope of work
1.4 m
Import or not
no
Applicable material
metal
Control mode
Auto
Electric current
Alternating current
Input voltage
380V
Principle of action
inverse
Cooling mode
Air cooling
Quality guarantee
1 year
The name of a product or commodity
Industrial welding robot
Applicable industry
Be common
Welding principle
Swing welding, fish pattern welding, automatic welding
Placement mode
Ground installation
Saleable land
The whole country
use
Automation is connected to various workpieces

 

Price description
Price: The display price of the goods in Ipurchasing, the specific transaction price may change due to the participation of the goods in activities, and may also change with the purchase quantity or the selected specifications. If the user and the merchant reach an agreement offline, the settlement price of the offline agreement shall prevail. If the user completes the online purchase on Ipurchasing, the final price of the order settlement page shall prevail.

Buying price: The activity price of the product to participate in the marketing campaign may also change with the purchase quantity or the selected specifications, and the final price is subject to the order settlement page.

Special note: The prices marked in the form of text or pictures in the product details page (including the main picture) may be the prices under the specific activity period, the specific price of the product is subject to the price of the order settlement page or the actual transaction price reached by you and the business after contact; If you find the price of the event or the event information is abnormal, it is recommended to consult the merchant before purchasing.

Scan to add us on WeChat

gmtpet

Click to copy WeChat ID

Login Required

Please login to submit an inquiry.

If you don't have an account, please register first.