Within the next decades, robots will need to be able to execute a large variety of tasks
autonomously in a large variety of environments. To relax the resulting programming effort, a …

Artificial Intelligence (AI) is increasingly finding acceptance in the space community,
especially Machine Learning (ML), a subdomain of AI. ML algorithms now find numerous …

Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …

The term “world model”(WM) has surfaced several times in robotics, for instance, in the
context of mobile manipulation, navigation and map**, and deep reinforcement learning …

In this paper, we present an experiment, designed to investigate and evaluate the scalability
and the robustness aspects of mobile manipulation. The experiment involves performing …

Many future application scenarios of robotics envision robotic agents to be in close physical
interaction with humans: On the factory floor, robotic agents shall support their human co …

Service robots are expected to play an important role in our daily lives as our companions in
home and work environments in the near future. An important requirement for fulfilling this …

With the increasing performance of machine learning techniques in the last few years, the
computer vision and robotics communities have created a large number of datasets for …

This paper presents a hybrid robot cognitive architecture, CRAM, that enables robot agents
to accomplish everyday manipulation tasks. It addresses five key challenges that arise when …

How can we enable users to create effective, perception-driven task plans for collaborative
robots? We conducted a 35-person user study with the Behavior Tree-based CoSTAR …