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» A Neural Network-Based Approach to Robot Motion Control
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ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 2 months ago
Port-Hamiltonian approaches to motion generation for mechanical systems
— This paper gives new motion generation methods for mechanical port-Hamiltonian systems. First, we propose a generation method based on an asymptotic stabilization method withou...
Satoru Sakai, Stefano Stramigioli
ICRA
2005
IEEE
119views Robotics» more  ICRA 2005»
14 years 2 months ago
Comparison of Alternate Methods for Distributed Motion Planning of Robot Collectives within a Potential Field Framework
– In this paper, we evaluate the performance of two candidate formulations for distributed motion planning of robot collectives within an Artificial Potential Field (APF) framewo...
Leng-Feng Lee, Rajankumar Bhatt, Venkat Krovi
IROS
2006
IEEE
126views Robotics» more  IROS 2006»
14 years 2 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...
WCE
2007
13 years 9 months ago
Robot Motion Planning using Hyperboloid Potential Functions
—A new approach to robot path planning using hyperboloid potential functions is presented in this paper. Unlike parabolic potential functions, where the control force increases w...
A. Badawy, Colin R. McInnes
CDC
2008
IEEE
168views Control Systems» more  CDC 2008»
14 years 3 months ago
An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments
Abstract— A geometric optimization based approach to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane is presented in [1]. Th...
Rafael Fierro, Silvia Ferrari, Chenghui Cai