robotics methodology

This paper presents the lessons learned from six years of experiments with planetary rover prototypes running the Service Oriented Robotic Architecture.

ntrs.nasa.gov·8.0 MB

We present a general methodology for knowledge engineering supporting robot manipulation that encodes action and object knowledge in an ontology.

ceur-ws.org·5.8 MB

Most importantly, the human is able to quickly develop and test time saving control strategies that form the basis for shared control and automation Page 4 ...

ntrs.nasa.gov·5.7 MB

The use of operations research techniques for the planning, design, and operation of robotic systems is valuable because a robotic facility is a complex system.

bpb-us-w2.wpmucdn.com·4.9 MB

by K Okumura · Cited by 22 — We propose a novel algorithm to solve multi-robot motion planning (MRMP) rapidly, called Simul- taneous Sampling-and-Search Planning (SSSP).

www.ijcai.org·3.6 MB

Monte Carlo Localization is now the most popular mobile robot localization method in use throughout the robotics community.

dellaert.github.io·3.0 MB

by M Pivtoraiko · 2007 · Cited by 31 — We present an approach to the problem of mobile robot motion planning in arbitrary cost fields subject to differential constraints.

publications.ri.cmu.edu·2.4 MB

Goal of robot motion planning: To construct a collision-free path from some initial configuration to some goal configuration for a robot within a workspace ...

www.hmc.edu·2.3 MB

by AR Mahmood · Cited by 287 — To study and alleviate these difficulties, we introduce six reinforcement learning tasks based on three commercially available robots. Most of these tasks ...

proceedings.mlr.press·2.1 MB

Abstract—Deep reinforcement learning (deep RL) holds the promise of automating the acquisition of complex controllers that can map sensory inputs directly ...

roboticsproceedings.org·1.9 MB

by R RAJ · Cited by 1 — Reinforce- ment learning algorithms help robots find a bal- ance between exploring new places and using what they already know works well, ...

pe.org.pl·1.9 MB

This paper implemented and compared five assisted tele- operation strategies for controlling a 6DOF robot arm using click-and-drag input from a computer mouse.

www.roboticsproceedings.org·1.8 MB

by L Dong · 2021 · Cited by 198 — This paper is a systematic review of current mainstream and state-of-the-art mobile robot motion planning methods. Its content mainly covers ...

arxiv.org·1.6 MB

Reinforcement learning offers to robotics a framework and set of tools for the design of sophisticated and hard-to-engineer behaviors. Conversely, the.

publications.ri.cmu.edu·1.4 MB

This chapter will attempt to address these deficiencies by presenting a systematic methodology with examples for the development of both simulated mobility ...

tsapps.nist.gov·1.3 MB

by C Choi · Cited by 2 — We propose multi-stage optimization approach for solving multi- robot motion planning problem (MRMP) in the joint-space via Parabolic.

www-robotics.jpl.nasa.gov·1.3 MB

This work presents novel control strategies for the RATS planar robotic platform, which consist in the development of running and jumping gaits. Simulators were ...

publications.ri.cmu.edu·876.1 KB

A mapping from sensing information to action inputs to complete mechanical motion-required tasks. Robot might not be able to move in any direction, velocity, ...

www.engineering.upenn.edu·793.1 KB

by SM LaValle · Cited by 330 — Motion planning involves getting a robot to automat- ically determine how to move while avoiding collisions with obstacles.

msl.cs.illinois.edu·637.7 KB

by T Lozano-Pérez · Cited by 95 — We have implemented this motion planner for the first. three degrees-of-freedom of a Puma robot in *Lisp™ on a Thinking Machines' Connection Machine with 8K.

lis.csail.mit.edu·618.3 KB