This paper reports preliminary experiments with a cooperative robot system to augment single cell manipulation tasks. The JHU “Steady-Hand” robot configuration for cell manipulation is reported. Stable force control laws for the “Steady Hand” are revisited. Preliminary experiments validating stable insertion of a micropipette in a mouse embryo are detailed along with formulation of vision based...

Object manipulation tasks by humanoid robots often do not only involve the hands and upper limbs but require flexible control of whole body movements. Examples are cooperative transportation tasks where a human and a robot carry an object together. Here, the robot has to reactively adapt its walking motion in order to compensate for the pushing and pulling forces exerted by the human via the ca...

People perform greater within-group cooperation when their groups face external threats, such as hostile outgroups or natural disasters. Researchers and social commentators suggest that high-ranking group members manipulate this "threat-dependent" cooperation by exaggerating threats in order to promote cooperation and suppress competition for their position. However, little systematic research ...

In this letter, we propose a control strategy for human-robot cooperative manipulation under the ambiguous collaboration of human agent. To cope with uncertainty, an adaptive update law inferring contribution to system dynamics from basic perception feedback through arm stiffness is used. Furth...

A robot cooperative manipulation system based on visual simultaneous localization and mapping is proposed in this paper. A single camera mounted on each mobile robot is used to observe unknown environments. SURF algorithm is employed to extract features of the environment and the target object. Three-dimensional positions of the features are estimated according to the visual information. The st...

ions and Algorithms for Cooperative Multiple Robot Planar Manipulation Peng Cheng Jonathan Fink Vijay Kumar

This article proposes a method for learning and robotic replication of dynamic collaborative tasks from offline videos. The objective is to extend the concept demonstration (LfD) scenarios, benefiting widely available or easily producible To achieve this goal, we decode important information, such as Configuration Dependent Stiffness (CDS), which reveals contribution arm pose endpoint stiffness...