Advances in Robot Learning 8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings /
Advances in Robot Learning 8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings / [electronic resource] :
edited by Jeremy Wyatt, John Demiris.
- 1st ed. 2000.
- VIII, 172 p. online resource.
- Lecture Notes in Artificial Intelligence, 1812 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 1812 .
Map Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically—Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots.
9783540400448
10.1007/3-540-40044-3 doi
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Computer simulation.
Artificial Intelligence.
Control, Robotics, Automation.
Computer Modelling.
Q334-342 TA347.A78
006.3
Map Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically—Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots.
9783540400448
10.1007/3-540-40044-3 doi
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Computer simulation.
Artificial Intelligence.
Control, Robotics, Automation.
Computer Modelling.
Q334-342 TA347.A78
006.3