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The majority of learning from demonstration approaches do not address suboptimal demonstrations or cases when drastic changes in the environment occur after the demonstrations were made. For example, in real teleoperation tasks, the demonstrations provided ...
We present a system for interaction between co-located humans and mobile robots, which uses pointing gestures sensed by a wrist-mounted IMU. The operator begins by pointing, for a short time, at a moving robot. The system thus simultaneously determines: th ...
This paper presents a strategy for providing reliable state estimates that allow a group of robots to realize a formation even when communication fails and the tracking data alone is insufficient for maintaining a stable formation. Furthermore, the trackin ...
Mobility in an effective and socially-compliant manner is an essential yet challenging task for robots operating in crowded spaces. Recent works have shown the power of deep reinforcement learning techniques to learn socially cooperative policies. However, ...
In ant colonies, collectivity enables division of labour and resources with great scalability. Beyond their intricate social behaviours, individuals of the genus Odontomachus, also known as trap-jaw ants, have developed remarkable multi-locomotion mechanis ...
Most policy search algorithms require thousands of training episodes to find an effective policy, which is often infeasible with a physical robot. This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only a handf ...
Exercising is strongly recommended for prevention and treatment of pathologies with high prevalence such as cardiovascular diseases, cancer, and diabetes. The World Health Organization (WHO) states that insufficient physical activity is one of the leading ...
It is often desirable for humanoid robots to have dexterous hands and perform human-like grasps. This requires a deliberate design of hands, in addition to a good actuation system and an efficient 3D vision system. In this paper, we present a simple method ...
Immobility due to movement impairments causes many secondary conditions that are a threat to a person's health and quality of life. Wearable robotic mobility aids such as exoskeletons and exosuits are a promising technique to tackle immobility. These devic ...
Small variance asymptotics is emerging as a useful technique for inference in large scale Bayesian non-parametric mixture models. This paper analyses the online learning of robot manipulation tasks with Bayesian non-parametric mixture models under small va ...
