Published 'Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning' at NeurIPS 2025
Two papers accepted at IROS 2025: 'Physics-informed Neural Time Fields for Prehensile Object Manipulation' and 'Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments'
Published 'Physics-informed Temporal Difference Metric Learning for Robot Motion Planning' at ICLR 2025, with code available
Published 'Physics-informed Neural Mapping and Motion Planning in Unknown Environments' in IEEE T-RO 2025 (co-first author), with code available
Published 'Physics-informed Neural Motion Planning on Constraint Manifolds' at ICRA 2024
Published 'Progressive Learning for Physics-informed Neural Motion Planning' at RSS 2023; oral presentation at RSS 2023 Symmetries in Robot Learning Workshop
Published spotlight paper 'NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning' at ICLR 2023; Best Paper Award at ICLR 2023 Neural Fields Workshop
Published 'Robust Multi-Robot Trajectory Optimization Using Alternating Direction Method of Multiplier' in IEEE RA-L 2022, with code available
Published 'Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision' at ICRA 2021, with code available
Published 'Progressive Parameterizations' in ACM Transactions on Graphics (SIGGRAPH) 2018, with code available