This paper presents a distributed planning and control architecture for autonomous Multi-Manipulator Systems (MMS). The control architecture is implemented using an agent-based ap...
Juan C. Fraile, Christiaan J. J. Paredis, Pradeep ...
We believe intelligence does not dwell solely in brain but emerges from active interactions with environments through perception, action, and communication. This paper give an over...
Many future applications of robotic systems will require manipulators to operate from moving vehicles. Such vehicles will be compliant in comparison to the rigid bases on which mo...
Harry West, Norbert Hootsmans, Steven Dubowsky, Na...
This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...