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IJCAI
1989
13 years 11 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
14 years 2 months ago
DLR's Multisensory Articulated Hand - Part II: The Parallel Torque/Position Control System
This paper gives a brief description of feedback control systems engaged in DLR's recently developed multisensory 4finger robot hand. The work is concentrated on constructing...
Hong Liu, Peter Meusel, Jörg Butterfaß,...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 3 months ago
Integrating Tactile and Force Feedback with Finite Element Models
— Few systems have integrated the correct tactile and kinesthetic force feedback response with an accurate computational model of a compliant environment. We examine several desi...
Christopher R. Wagner, Douglas P. Perrin, Ross L. ...
ICRA
2002
IEEE
187views Robotics» more  ICRA 2002»
14 years 2 months ago
Trajectory Planning using Reachable-State Density Functions
:This paper presents a trajectory planning algorithm for mobile robots which may be subject to kinodynamic constraints. Using computational methods from noncommutative harmonic ana...
Richard Mason, Joel W. Burdick
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
14 years 4 months ago
Learning sequential visual attention control through dynamic state space discretization
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...