35 citations · 80 across the 8 of their papers we have counts for
9 papers
MuBlE: MuJoCo and Blender simulation Environment and Benchmark for Task Planning in Robot Manipulation
Michal Nazarczuk, Karla Stepanova, Jan Kristof Behrens +2
Current embodied reasoning agents struggle to plan for long-horizon tasks that require to physically interact with the world to obtain the necessary information (e.g. 'sort the obj…
ILeSiA: Interactive Learning of Robot Situational Awareness from Camera Input
Petr Vanc, Giovanni Franzese, Jan Kristof Behrens +4
Learning from demonstration is a promising approach for teaching robots new skills. However, a central challenge in the execution of acquired skills is the ability to recognize fau…
Closed Loop Interactive Embodied Reasoning for Robot Manipulation
Michal Nazarczuk, Jan Kristof Behrens, Karla Stepanova +2
Embodied reasoning systems integrate robotic hardware and cognitive processes to perform complex tasks, typically in response to a natural language query about a specific physical…
Communicating human intent to a robotic companion by multi-type gesture sentences
Petr Vanc, Jan Kristof Behrens, Karla Stepanova +1
Human-Robot collaboration in home and industrial workspaces is on the rise. However, the communication between robots and humans is a bottleneck. Although people use a combination…
Context-aware robot control using gesture episodes
Petr Vanc, Jan Kristof Behrens, Karla Stepanova
Collaborative robots became a popular tool for increasing productivity in partly automated manufacturing plants. Intuitive robot teaching methods are required to quickly and flexib…
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
Jiri Sedlar, Karla Stepanova, Radoslav Skoviera +5
This paper introduces a dataset for training and evaluating methods for 6D pose estimation of hand-held tools in task demonstrations captured by a standard RGB camera. Despite the…