A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

Recent approaches in robot perception follow the insight that perception is facilitated by
interaction with the environment. These approaches are subsumed under the term …

Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

People often use physical intuition when manipulating articulated objects, irrespective of
object semantics. Motivated by this observation, we identify an important embodied task …

We introduce a particle filter-based approach to representing and actively reducing
uncertainty over articulated motion models. The presented method provides a probabilistic …

Building general-purpose robots to perform a diverse range of tasks in a large variety of
environments in the physical world at the human level is extremely challenging. According to …

In this paper we address a problem of how to open the doors with an articulated robot. We
propose a novel algorithm, that combines widely used reinforcement learning approach with …

Mobile manipulation requires the integration of methodologies from all aspects of robotics.
Instead of tackling each aspect in isolation, mobile manipulation research exploits their …

How can we close the gap between animals and robots when it comes to intelligently
interacting with the environment? On our quest for answers, we have investigated the …

Learning complex physical tasks via trial-and-error is still challenging for high-degree-of-
freedom robots. Greatest challenges are devising a suitable objective function that defines …