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» Mobile Opportunistic Planning: Methods and Models
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ATAL
2009
Springer
13 years 8 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso
ICRA
2005
IEEE
263views Robotics» more  ICRA 2005»
14 years 1 months ago
An Integrated Path Planning and Control Framework for Nonholonomic Unicycles
— In this paper, navigation and control of autonomous mobile unicycle robots in a complex and partially known obstacleridden environment is considered. The unicycle dynamic model...
Kaustubh Pathak, Sunil Kumar Agrawal
AAAI
2008
13 years 9 months ago
Learning to Improve Earth Observation Flight Planning
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigation...
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Eli...
RAS
2006
138views more  RAS 2006»
13 years 7 months ago
From pixels to multi-robot decision-making: A study in uncertainty
Mobile robots must cope with uncertainty from many sources along the path from interpreting raw sensor inputs to behavior selection to execution of the resulting primitive actions...
Peter Stone, Mohan Sridharan, Daniel Stronger, Gre...
DARS
2000
Springer
128views Robotics» more  DARS 2000»
13 years 11 months ago
Terrain Model Acquisition by Mobile Robot Teams and n-Connectivity
Abstract. The connectivity of the con guration space has been a valuable concept in the motion planning for single robots in both known and unknown terrains. We show here that n-co...
Nageswara S. V. Rao