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» Collaborative motion planning of autonomous robots
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IROS
2007
IEEE
109views Robotics» more  IROS 2007»
14 years 3 days 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...
ICRA
1999
IEEE
118views Robotics» more  ICRA 1999»
13 years 10 months ago
Rapid Physics-Based Rough-Terrain Rover Planning with Sensor and Control Uncertainty
In future planetary exploration missions, rovers will be required to autonomously traverse challenging environments. Much of the previous work in robot motion planning cannot be s...
Karl Iagnemma, Frank Génot, Steven Dubowsky
TSMC
1998
169views more  TSMC 1998»
13 years 5 months ago
Real-time map building and navigation for autonomous robots in unknown environments
—An algorithmic solution method is presented for the problem of autonomous robot motion in completely unknown environments. Our approach is based on the alternate execution of tw...
Giuseppe Oriolo, Giovanni Ulivi, Marilena Venditte...
HRI
2006
ACM
13 years 11 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ATAL
2006
Springer
13 years 9 months ago
Multi-model motion tracking under multiple team member actuators
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Yang Gu, Manuela M. Veloso