most citedComparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms

5 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO2021

Nth Order Analytical Time Derivatives of Inverse Dynamics in Recursive and Closed Forms

Shivesh Kumar, Andreas Mueller

Derivatives of equations of motion describing the rigid body dynamics are becoming increasingly relevant for the robotics community and find many applications in design and control…

cs.RO20213 cited

Design, analysis and control of the series-parallel hybrid RH5 humanoid robot

Julian Esser, Shivesh Kumar, Heiner Peters +5

Last decades of humanoid research has shown that humanoids developed for high dynamic performance require a stiff structure and optimal distribution of mass--inertial properties. H…

cs.RO2020

A Development Cycle for Automated Self-Exploration of Robot Behaviors

Thomas M. Roehr, Daniel Harnack, Hendrik Wöhrle +7

In this paper we introduce Q-Rock, a development cycle for the automated self-exploration and qualification of robot behaviors. With Q-Rock, we suggest a novel, integrative approac…

cs.RO2020

Combinatorics of a Discrete Trajectory Space for Robot Motion Planning

Felix Wiebe, Shivesh Kumar, Daniel Harnack +3

Motion planning is a difficult problem in robot control. The complexity of the problem is directly related to the dimension of the robot's configuration space. While in many theore…

cs.RO2020

A Comparative Study on 2-DOF Variable Stiffness Mechanisms

Christoph Stoeffler, Shivesh Kumar, Andreas Müller

Based on the idea of variable stiffness mechanisms, a variety of such mechanisms is shown in this work. Specifically, 2-DOF parallel kinematic machines equipped with redundant actu…

cs.RO20205 cited

Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms

Tim von Oehsen, Alexander Fabisch, Shivesh Kumar +1

Several publications are concerned with learning inverse kinematics, however, their evaluation is often limited and none of the proposed methods is of practical relevance for rigid…