Results 251 to 260 of about 1,194,241 (312)

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

arXiv.org
Imitation learning from human demonstrations has shown impressive performance in robotics. However, most results focus on table-top manipulation, lacking the mobility and dexterity necessary for generally useful tasks.
Zipeng Fu, Tony Zhao, Chelsea Finn
semanticscholar   +1 more source

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Conference on Robot Learning
Representing robotic manipulation tasks as constraints that associate the robot and the environment is a promising way to encode desired robot behaviors.
Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Fei-Fei Li   +4 more
semanticscholar   +1 more source

The dynamic manipulability ellipsoid for redundant manipulators

Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 2002
Manipulability ellipsoids are effective tools to perform task space analysis of robotic manipulators in terms of velocities, accelerations and forces at the end effector. A new definition of dynamic manipulability ellipsoid for redundant manipulators is proposed which leads to more correct results in evaluating manipulator capabilities in terms of task-
Pasquale Chiacchio, Mariano Concilio
openaire   +1 more source

Manipulabilities Of Serial-parallel Manipulator Systems

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
This paper presents two different ap- proaches of deflning the manipulabilities and resistivi- ties of serial-parallel manipulator systems. In the flrst approach, the manipulability (resistivity) of the serial- parallel structure is dehed by imposing the kinematic constraint on the local manipulabilities (local resistiv- ities), each of which is ...
Sukhan Lee 0001, Sungbok Kim
openaire   +1 more source

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

arXiv.org
Reinforcement learning (RL) holds great promise for enabling autonomous acquisition of complex robotic manipulation skills, but realizing this potential in real-world settings has been challenging.
Jianlan Luo, Charles Xu, Jeffrey Wu, Sergey Levine   +3 more
semanticscholar   +1 more source

Manipulation of multiple objects by two manipulators

Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 2002
This paper focuses on the manipulation of multiple objects, for example, to rake up many objects on a table, lift them up and put them in order, which is difficult to perform for a single manipulator system. This kind of operation becomes possible or much more effective by the cooperation of two manipulators.
Yasumichi Aiyama, Makoto Minami, Tamio Arai   +2 more
openaire   +1 more source

Symbol manipulation and formula manipulation

ACM SIGSAM Bulletin, 1983
For years, Chinese research workers have noticed that there are systems for symbol manipulation and formula manipulation abroad. But use of computers in China is later. In early years, only assemblers, ALGOL, BASIC and FORTRAN languages were used, which were not suited to help manipulate formulas.
openaire   +1 more source

Manipulability constraint locus for a redundant manipulator

Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91, 2002
A manipulability constraint locus to characterize the performance of a subtask for a redundant manipulator is suggested. The manipulability constraint locus is the loci of configurations satisfying the necessary condition for optimality of the manipulability measure in the configuration space.
Byoung Wook Choi, Jong Hwa Won, Myung Jin Chung   +2 more
openaire   +1 more source

Dexterous manipulation with general manipulation methodology

Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96, 2002
We discuss various kinds of manipulation in this paper. Conventional manipulation is made when an object is rigidly grasped by a robot hand. Previously, different kinds of manipulation, in which a manipulated object is not fixed onto a robot hand, were studied. They have dexterity but uncertainty. In this paper, we give a classification of manipulation,
Yasumichi Aiyama, Tamio Arai
openaire   +1 more source

Multiple tasks manipulation for a robotic manipulator

Advanced Robotics, 2004
Robotic manipulators can execute multiple tasks precisely at the same time and, thus, the task-priority scheme plays an important role in implementing multiple tasks. Until now, several algorithms for task-priority have been used in solving the inverse kinematics for redundant manipulators.
Youngjin Choi, Yonghwan Oh, Sang-Rok Oh, Jonghoon Park, Wan Kyun Chung   +4 more
openaire   +2 more sources