News

May 30, 2026   Our paper ActivePusher: Active Learning and Planning with Residual Physics for Nonprehensile Manipulation lead by Zhuoyun Zhong, and Ali Golestaneh was accepted to ICRA2026 and is nominated for best paper award in the Planning and Control Category!
May 07, 2026   The senior capstone project (MQP) on parachute packing from ELPIS lab, won the RBE department award! See the amazing video here.
Aug 29, 2025 ELPIS Lab along with professor Jing Xiao recieved an Army Research Center grant for 170k$ to conduct research on real-time path planning in unmapped rough off-road terrains.
Jul 01, 2025   ELPIS Lab was awarded the NSF-CRII grant for 175k$ to conduct research on how robots can learn abstract, symbolic representations from visual and execution data.
Jun 21, 2025   ELPIS lab was at RSS2025 with one talk on MotionBenchMaker and a workshop paper on active learning for non-prehenslie manipulation.
May 30, 2025 ELPIS Lab along with professor Jing Xiao recieved an Amazon WPI Robotics Enginnering Award gift for 75k$ to conduct research on whole-body planning for a humanoid robot.
May 15, 2025   The first cohort of 8 M.S. students from the ELPIS Lab has graduated. Congratulations to everybody!
Mar 15, 2025 Prof. Chamzas was an invited panelist for the Future Faculty Fellows at Rice University.
Jan 24, 2025   Our paper “Multi-layer Motion Planning with Kinodynamic and Spatio-Temporal Constraints” has been accepted to ACM Hybrid Systems: Computation and Control (HSCC) 2025! Congratulations to Abhiroop Ajith and Jeel Chatrola!
Nov 14, 2024 Prof. Chamzas gave a talk at the UNH Robotics Seminar on “Learning and Planning for Robotic Manipulation: Bringing Theory to Practice.”
Aug 15, 2024 Two new Ph.D. students, Abhiroop Ajith and Ali Golestaneh, are joining the ELPIS lab!
Aug 01, 2024 The first paper of the ELPIS Lab titled “Expansion-GRR: Efficient Generation of Smooth Global Redundancy Resolution Roadmaps” has been accepted to IROS2024! Congrats Zhuoyun Zhong!
Jan 20, 2024 Our preprint manuscript on Computing Efficient Global Redundancy Resolution Maps is available on Arxiv: