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» Adaptive Path Planner for Highly Dynamic Environments
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SETN
2004
Springer
15 years 2 months ago
Integrating miniMin-HSP Agents in a Dynamic Simulation Framework
Abstract. In this paper, we describe the framework created for implementing AI-based animations for artificial actors in the context of IVE (Intelligent Virtual Environments). The...
Miguel Lozano, Francisco Grimaldo, Fernando Barber
ICRA
2010
IEEE
92views Robotics» more  ICRA 2010»
14 years 8 months ago
Spatiotemporal path planning in strong, dynamic, uncertain currents
Abstract— This work addresses mission planning for autonomous underwater gliders based on predictions of an uncertain, time-varying current eld. Glider submersibles are highly se...
David R. Thompson, Steve Chien, Yi Chao, Peggy Li,...
ROBOCUP
2007
Springer
159views Robotics» more  ROBOCUP 2007»
15 years 3 months ago
High Accuracy Navigation in Unknown Environment Using Adaptive Control
Aiming to reduce cycle time and improving the accuracy on tracking, a modified adaptive control was developed, which adapts autonomously to changing dynamic parameters. The platfor...
Fernando Ribeiro, Ivo Moutinho, Nino Pereira, Fern...
ICRA
2009
IEEE
176views Robotics» more  ICRA 2009»
15 years 4 months ago
Path planning in 1000+ dimensions using a task-space Voronoi bias
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...
Alexander C. Shkolnik, Russ Tedrake
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 1 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea