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» Sampling-Based Motion Planning Using Predictive Models
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CHARME
2005
Springer
136views Hardware» more  CHARME 2005»
14 years 3 months ago
Predictive Reachability Using a Sample-Based Approach
Abstract. Unbounded model checking of invariant properties is typically solved using symbolic reachability. However, BDD based reachability methods suffer from lack of robustness ...
Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer,...
IROS
2006
IEEE
204views Robotics» more  IROS 2006»
14 years 4 months ago
Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
Thorsten Rennekamp, Kai Homeier, Torsten Kroeger
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 8 months ago
On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms
Robotic manipulators on non-inertial platforms, such as ships, have to endure large inertial forces due to the non-inertial motion of the platform. When the non-inertial platform&#...
Pål Johan From, Jan Tommy Gravdahl, Pieter A...
IJRR
2010
173views more  IJRR 2010»
13 years 8 months ago
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is b...
Ryan N. Smith, Yi Chao, Peggy Li, David A. Caron, ...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 5 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner