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ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
14 years 16 hour ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
WSC
2008
13 years 10 months ago
Modeling and simulation of e-mail social networks: A new stochastic agent-based approach
Understanding how the structure of a network evolves over time is one of the most interesting and complex topics in the field of social networks. In our attempt to model the dynam...
Fabian Menges, Bud Mishra, Giuseppe Narzisi
ATAL
2008
Springer
13 years 10 months ago
Coalitions and announcements
Two currently active strands of research on logics for multi-agent systems are dynamic epistemic logic, focusing on the epistemic consequences of actions, and logics of coalitiona...
Thomas Ågotnes, Hans P. van Ditmarsch
ATAL
2008
Springer
13 years 10 months ago
Artificial agents learning human fairness
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
Steven de Jong, Karl Tuyls, Katja Verbeeck
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
13 years 10 months ago
Left invertibility of discrete systems with finite inputs and quantized output
Abstract-- The aim of this paper is to address left invertibility for dynamical systems with inputs and outputs in discrete sets. We study systems that evolve in discrete time with...
Nevio Dubbini, Benedetto Piccoli, Antonio Bicchi