Learning physics-based motion style with nonlinear inverse optimization
ACM SIGGRAPH 2005 Papers
Interactive animation of dynamic manipulation
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Evolution of central pattern generators for bipedal walking in areal-time physics environment
IEEE Transactions on Evolutionary Computation
A Developmental Roadmap for Learning by Imitation in Robots
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Spectrum
Designing effective humanoid soccer goalies
RoboCup 2010
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A methodology for the analysis and design of fall sequences of robots that minimize joint/articulation injuries, and the damage of valuable body parts is proposed. These fall sequences can be activated/triggered by the robot in case of a detected unintentional fall or an intentional fall, which are common events in humanoid soccer environments. The methodology is human-based and requires the use of a realistic simulator as development tool. The obtained results show that fall sequences designed using the proposed method produce less damage than standard, uncontrolled falls.