— This paper presents a new method for planning motions of multi-arm systems in constrained workspaces, for which state-of-the-art planners behave poorly. The method is based on ...
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative suppor...
Ville Kyrki, Isabel Serrano Vicente, Danica Kragic...
A novel progressive estimation scheme is proposed to detect moving targets in infrared video sequences in this work. The proposed algorithm does not place constraints on camera mo...