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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
16 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
IROS
2007
IEEE
154views Robotics» more  IROS 2007»
16 years 1 months ago
A Kalman filter-based algorithm for IMU-camera calibration
—Vision-aided inertial navigation systems (V-INSs) can provide precise state estimates for the 3-D motion of a vehicle when no external references (e.g., GPS) are available. This...
Faraz M. Mirzaei, Stergios I. Roumeliotis
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
16 years 1 months ago
Planning for robust execution of humanoid motions using future perceptive capability
— We present an approach to motion planning for highly articulated systems that aims to ensure robust execution by augmenting the planning process to reason about the robot’s a...
Philipp Michel, Christian Scheurer, James J. Kuffn...
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
16 years 1 months ago
Bipedal walking on rough terrain using manifold control
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
Tom Erez, William D. Smart
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
16 years 1 months ago
Experience-based and tactile-driven dynamic grasp control
— Algorithms for dextrous robot grasping always have to cope with the challenge of achieving high object specialisation for a wide range of grasping contexts. In this paper, we p...
Jan Steffen, Robert Haschke, Helge Ritter
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