Publications (7)
Temporal and Physical Reasoning for Perception-Based Robotic Manipulation
Felix Jonathan, Chris Paxton, Gregory D. Hager
Accurate knowledge of object poses is crucial to successful robotic manipulation tasks, and yet most current approaches only work in laboratory settings. Noisy sensors and cluttere…
User Experience of the CoSTAR System for Instruction of Collaborative Robots
Chris Paxton, Felix Jonathan, Andrew Hundt +2
How can we enable novice users to create effective task plans for collaborative robots? Must there be a tradeoff between generalizability and ease of use? To answer these questions…
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions
Chris Paxton, Felix Jonathan, Marin Kobilarov +1
We propose a learning-from-demonstration approach for grounding actions from expert data and an algorithm for using these actions to perform a task in new environments. Our approac…
Decentralized Uncertainty-Aware Active Search with a Team of Aerial Robots
Wennie Tabib, John Stecklein, Caleb McDowell +15
Rapid search and rescue is critical to maximizing survival rates following natural disasters. However, these efforts are challenged by the need to search large disaster zones, lack…
Evaluating Methods for End-User Creation of Robot Task Plans
Chris Paxton, Felix Jonathan, Andrew Hundt +2
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 system t…
UGV-UAV Object Geolocation in Unstructured Environments
David Guttendorf, D. W. Wilson Hamilton, Anne Harris Heckman +12
A robotic system of multiple unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) has the potential for advancing autonomous object geolocation performance. Much res…