Zobrazeno 1 - 10
of 82 296
pro vyhledávání: '"FORCE CONTROL"'
The technology for generating robot actions has significantly contributed to the automation and efficiency of tasks. However, the ability to adapt to objects of different shapes and hardness remains a challenge for general industrial robots. Motion r
Externí odkaz:
http://arxiv.org/abs/2412.15430
Humans can steadily and gently grasp unfamiliar objects based on tactile perception. Robots still face challenges in achieving similar performance due to the difficulty of learning accurate grasp-force predictions and force control strategies that ca
Externí odkaz:
http://arxiv.org/abs/2409.10371
Autor:
Du, Liang, Xiao, Meng
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 6, pp. 1049-1056.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-04-2024-0176
Admittance control is a commonly used strategy for regulating robotic systems, such as quadruped and humanoid robots, allowing them to respond compliantly to contact forces during interactions with their environments. However, it can lead to instabil
Externí odkaz:
http://arxiv.org/abs/2409.19275
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-19 (2024)
ABSTRACTThis study presents the development of an event-driven hybrid control for position and force tracking applied on a mobile robotic manipulator for metal recycling tasks. The suggested controller operates in a sequenced strategy starting from a
Externí odkaz:
https://doaj.org/article/b4c997d528404cd1a56c44e32b4d3cb2
This paper introduces a unique force control and adaptation algorithm for a lightweight and low-complexity five-fingered robotic hand, namely an Integrated-Finger Robotic Hand (IFRH). The force control and adaptation algorithm is intuitive to design,
Externí odkaz:
http://arxiv.org/abs/2407.19279
Grasping an unknown object is difficult for robot hands. When the characteristics of the object are unknown, knowing how to plan the speed at and width to which the fingers are narrowed is difficult. In this paper, we propose a method to realize the
Externí odkaz:
http://arxiv.org/abs/2407.05582
Controlling contact forces during interactions is critical for locomotion and manipulation tasks. While sim-to-real reinforcement learning (RL) has succeeded in many contact-rich problems, current RL methods achieve forceful interactions implicitly w
Externí odkaz:
http://arxiv.org/abs/2405.01402
Publikováno v:
In Journal of the Franklin Institute January 2025 362(2)