News & Events

Ofir Gordon's paper (co-authored with Yuval Filmus) titled "Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds" has been accepted for publication in the 14th Annual Symposium on Combinatorial Search (SoCS).

New paper titled "A Novel Shaft-to-Tissue Force Model for Safer Motion Planning of Steerable Needles" uploaded to arXiv.

A paper co-authored with Mengyu Fu and Ron Alterovitz titled ``Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search'' has been accepted for publication in the  IEEE International Conference on Robotics and Automation (ICRA).

A paper co-authored with Boris Goldin titled "Approximate bi-criteria search by efficient representation of subsets of the Pareto-optimal frontier" has been accepted for publication in the International Conference on Automated Planning and Scheduling (ICAPS).

Ministry of Science and Technology (MOST) grant titled "What is the right robot for my problems? Evaluating robot suitability for motion-planning tasks via domain coherence" was awarded.

NSF-BSF grant titled "Provably High-Quality Robot Inspection Planning-Theory and Application" was awarded together with Prof. Ron Alterovitz from UNC.

A paper co-authored with Vinitha Ranganeni and Maxim Likhachev titled "Effective Footstep Planning Using Homotopy-Class Guidance" has been accepted for publication in Artificial Intelligence.

A paper co-authored with Fahad Islam, Aditya Agarwal and Maxim Likhachev titled “Provably Constant-time Planning and Re-planning for Real-time Grasping Objects off a Conveyor” was accepted to Robotics: Science and Systems (RSS).  

A paper co-authored with Fahad Islam, Anirudh Vemula, Sung Kyun Kim, Andrew Dornbush and Maxim Likhachev titled “Planning, Learning and Reasoning Framework for Robot Truck Unloading” was accepted to the International Conference on Robotics and Automation (ICRA).
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A paper co-authored with Roni Stern titled “Research Challenges and Opportunities in Multi-Agent PathFinding and Multi-Agent Pickup and Delivery Problems” was accepted to the Blue-Sky track at the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS).