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» Motion Planning for Legged Robots on Varied Terrain
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ICRA
2006
IEEE
161views Robotics» more  ICRA 2006»
14 years 1 months ago
Quadruped Robot Obstacle Negotiation via Reinforcement Learning
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Sin...
ICRA
2003
IEEE
122views Robotics» more  ICRA 2003»
14 years 25 days ago
Motion planning for humanoid walking in a layered environment
- Motion planning is one of the key capabilities for autonomous humanoid robots. Previous researches have focused on weight balancing, collision detection, and gait generation. Mos...
Tsai-Yen Li, Pei-Feng Chen, Pei-Zhi Huang
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
14 years 1 months ago
A Motion Planner for a Hybrid Robotic System with Kinodynamic Constraints
— The rapidly increasing complexity of tasks robotic systems are expected to carry out underscores the need for the development of motion planners that can take into account disc...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi
AROBOTS
2002
98views more  AROBOTS 2002»
13 years 7 months ago
Dynamically-Stable Motion Planning for Humanoid Robots
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
IROS
2008
IEEE
236views Robotics» more  IROS 2008»
14 years 1 months ago
Real-time stereo visual odometry for autonomous ground vehicles
— This paper describes a visual odometry algorithm for estimating frame-to-frame camera motion from successive stereo image pairs. The algorithm differs from most visual odometry...
Andrew Howard