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EVOW
2003
Springer
15 years 5 months ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 5 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
AROBOTS
2007
159views more  AROBOTS 2007»
15 years 21 days ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
83
Voted
ICRA
2009
IEEE
119views Robotics» more  ICRA 2009»
15 years 7 months ago
Dynamically diverse legged locomotion for rough terrain
— In this video, we demonstrate the effectiveness of a kinodynamic planning strategy that allows a high-impedance quadruped to operate across a variety of rough terrain. At one e...
Katie Byl, Russ Tedrake
ICRA
2000
IEEE
92views Robotics» more  ICRA 2000»
15 years 5 months ago
Robot Improv: Using Drama To Create Believable Agents
Believable agents usually depend upon explicit, model-based simulations of human emotions. This work appeals instead to the sensibilities of dramatic acting to create agents that ...
Allison Bruce, Jonathan Knight, Samuel Listopad, B...