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NIPS
1992
15 years 7 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
124
Voted
AR
2002
113views more  AR 2002»
15 years 6 months ago
Final-state control of a two-link cat robot
: This paper deals with twisting motion of a falling cat robot by two torque inputs around her waist. The cat robot consists of two rigid columns and has internally two actuators a...
Zhiqiang Weng, Hidekazu Nishimura
JSAC
2010
120views more  JSAC 2010»
15 years 27 days ago
Simple movement control algorithm for bi-connectivity in robotic sensor networks
Robotic sensor networks are more powerful than sensor networks because the sensors can be moved by the robots to adjust their sensing coverage. In robotic sensor networks, an impor...
Hai Liu, Xiaowen Chu, Yiu-Wing Leung, Rui Du
ICRA
2006
IEEE
81views Robotics» more  ICRA 2006»
16 years 5 days ago
Hardware-in-the-loop Test Rig for Designing Near-earth Aerial Robotics
Today’s aerial robots are being tasked to fly in nearEarth environments such as caves, forests and buildings. The lack of flight data and performance metrics poses a gap that ...
Vefa Narli, Paul Y. Oh
152
Voted
AIM
2006
15 years 6 months ago
The Pyro Toolkit for AI and Robotics
This article introduces Pyro, an open source python robotics toolkit for exploring topics in AI and robotics. nt key abstractions that allow Pyro controllers to run unchanged on a...
Douglas S. Blank, Deepak Kumar, Lisa Meeden, Holly...