Interactively shaping robot behaviour with unlabeled human instructions

Further, the cost function used made marginal cost dependent on the capacity limit and would not easily lend itself to the discussion of what happens when just the number of

In addition to reducing the number of points required to learn a model that meets the performance criteria, the Bayesian transfer of the trend of a kriging model also improves

We contribute to multi-agent reinforcement learning literature by proposing a framework that introduces inter-agent evaluative feedback on top of environment rewards. Using our

To evaluate whether using haptic feedback to indicate obstacle proximity, improves the effective- ness of teleoperating a mobile robot, in a teleoperation dual-task activity.. In

Our objectives were: first, to explore if interpersonal motor coordination impairments already shown during interactions with a human partner 20,21 also apply to interactions with

We determine the asymptotic behaviour of the number of Eulerian circuits in undirected simple graphs with large algebraic connectivity (the second-smallest eigenvalue of the

From Dixmier’s table (cf.. To prove this, we just have to distinguish for a partition of n the parts smaller than h and those larger than h + 1... By the above remark, j must be

Keywords: Multimodal interface, force feedback teleoperation, assistive robotics, mobile robot remote control, transmission