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» Randomized model predictive control for robot navigation
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IROS
2006
IEEE
135views Robotics» more  IROS 2006»
15 years 5 months ago
Bio-inspired Model of Robot Adaptive Learning and Mapping
- In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to lear...
Alejandra Barrera Ramirez, Alfredo Weitzenfeld Rid...
68
Voted
SMC
2007
IEEE
135views Control Systems» more  SMC 2007»
15 years 5 months ago
Assessing coordination overhead in control of robot teams
—Conventional models of multirobot control assume independent robots and tasks. This allows an additive model in which the operator controls robots sequentially neglecting each u...
Jijun Wang, Michael Lewis
115
Voted
ICRA
2003
IEEE
160views Robotics» more  ICRA 2003»
15 years 4 months ago
Adapting navigation strategies using motions patterns of people
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
ICRA
1998
IEEE
155views Robotics» more  ICRA 1998»
15 years 3 months ago
Reactive Visual Control of Multiple Non-Holonomic Robotic Agents
We have developed a multiagent robotic system including perception, cognition, and action components to function in a dynamicenvironment. The system involves the integration and c...
Kwun Han, Manuela M. Veloso
95
Voted
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
15 years 6 months ago
Blended local planning for generating safe and feasible paths
Abstract— Many planning approaches adhere to the twotiered architecture consisting of a long-range, low fidelity global planner and a short-range high fidelity local planner. W...
Ling Xu, Anthony Stentz