Karol Janik
Research Subjects
Research Interests
Karol Janik has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Ingmar Posner
Oxford Robotics Institute, Department of Engineering Science, University of Oxford, Oxford, U.K.
1 shared publication - Jack Collins
Applied AI Lab, Oxford Robotics Institute, University of Oxford, Oxford, U.K.
1 shared publication - Jun Yamada
Department of Engineering Science, University of Oxford, Oxford, U.K.
1 shared publication - Mark Robson
University of Birmingham, Birmingham, U.K.
1 shared publication - Mohan Sridharan
University of Edinburgh University of Edinburgh
1 shared publication
Latest Publications
- 6 November 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 9 (1) , 9-16
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning
We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial assembly tasks. RAMP consists of beams that a robot must assemble into specified goal configurations using pegs as fasteners. As such, it assesses planning and execution capabilities, and poses challenges in perception, reasoning, manipulation, diagnostics, fault recovery, and goal parsing. RAMP has been designed to be accessible and extensible. Parts are either 3D printed or otherwise constructed from materials that are readily obtainable. The design of parts and detailed instructions are publicly available. In order to broaden community engagement, RAMP incorporates fixtures such as April Tags which enable researchers to focus on individual sub-tasks of the assembly challenge if desired. We provide a full digital twin as well as rudimentary baselines to enable rapid progress. Our vision is for RAMP to form the substrate for a community-driven endeavour that evolves as capability matures.
- 6 November 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 9 (1) , 9-16
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning
We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial assembly tasks. RAMP consists of beams that a robot must assemble into specified goal configurations using pegs as fasteners. As such, it assesses planning and execution capabilities, and poses challenges in perception, reasoning, manipulation, diagnostics, fault recovery, and goal parsing. RAMP has been designed to be accessible and extensible. Parts are either 3D printed or otherwise constructed from materials that are readily obtainable. The design of parts and detailed instructions are publicly available. In order to broaden community engagement, RAMP incorporates fixtures such as April Tags which enable researchers to focus on individual sub-tasks of the assembly challenge if desired. We provide a full digital twin as well as rudimentary baselines to enable rapid progress. Our vision is for RAMP to form the substrate for a community-driven endeavour that evolves as capability matures.