Jeffrey Ichnowski
Jeffrey Ichnowski researches robotic manipulation and planning. His shared work includes cable untangling, transparent-object grasping and computing platforms for robots. Ichnowski co-authored the RSS 2022 paper Autonomously Untangling Long Cables. The robot system combines perception and physical actions to untangle cables. Ichnowski co-authored Evo-NeRF, a joint CoRL 2022 study of evolving neural radiance fields for sequential robot grasping of transparent objects. Ichnowski co-authored the ICRA 2023 FogROS2 paper on an adaptive cloud-and-fog robotics platform using ROS 2.
- Works
- 114
- Citations
- 1,374
- h-index
- 22
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2022
Cable untangling
Ichnowski co-authored the RSS 2022 paper Autonomously Untangling Long Cables. The team’s robot system combines perception and physical actions to untangle cables.
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2022
Grasping transparent objects
Ichnowski co-authored Evo-NeRF, a joint CoRL 2022 study of evolving neural radiance fields for sequential robot grasping of transparent objects.
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2023
Cloud and fog robotics
Ichnowski co-authored the ICRA 2023 FogROS2 paper on an adaptive cloud-and-fog robotics platform using ROS 2.
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As of October 2026
Planning and learning
He earned a UNC Chapel Hill doctorate with Ron Alterovitz and Jan Prins and later conducted Berkeley postdoctoral research. His research covers grasp and motion planning in dynamic environments using high-performance computing, optimization and deep learning.
Sources and credits
Photo: www.ri.cmu.edu; creator not stated. License: Not stated by source. Source: ri.cmu.edu. Cropped to a square and resized. Ask us to remove or replace this photo.