Publications

Marcus Greiff, Stefano Di Cairano, Himani Simhmar, Motion Planning and Control with Multi-Stage Construction of Invariant Sets , US Patent, Pending, Filed March 2024

Qingkun Liu*, Wei Wang*, Himani Simhmar, Itay Griniasty, Jason Z. Kim, Jacob T. Pelster, Parag Chaudhari, Michael F. Reynolds, Michael C. Cao, David A. Muller, Alyssa B. Apsel, Nicholas L. Abbott, Hadas Kress-Gazit, Paul. L. McEuen, Itai Cohen, Microscopic, continuum, compliant, and electronically configurable metasheet robots, in Revision Nature Materials 2024

Himani Sinhmar, Hadas Kress-Gazit, Multi-Source Encapsulation With Guaranteed Convergence Using Minimalist Robots, under review in Distributed Autonomous Robotic Systems (DARS) 2024

Himani Sinhmar, Hadas Kress-Gazit, Guaranteed Encapsulation of Targets with Unknown Motion by a Minimalist Robotic Swarm, Transactions on Robotics (TRO 2023). [Paper]

Himani Sinhmar, Marcus Greiff, Stefano Di Cairano, Practical and Safe Navigation Function Based Motion Planning of UAVs, under review in International Conference on Robotics and Automation (ICRA 2024).

Himani Sinhmar, Hadas Kress-Gazit, Decentralized Control of Minimalistic Robotic Swarms For Guaranteed Target Encapsulation, International Conference on Intelligent Robots and Systems (IROS 2022). [Paper]

Himani Sinhmar, Srikant Sukumar, Distributed model independent algorithm for spacecraft synchronization under relative measurement bias, 5th CEAS Conference on Guidance, Navigation and Control. [Paper]

Pallavi Sinha, Srikant Sukumar, Himani Sinhmar, Consensus of networked double integrator systems under sensor bias, International Journal of Adaptive Control and Signal Processing, November 2022. [Paper]

Himani Sinhmar, Vinod Kumar, Relative Autonomous Navigation Without Communication Between Spacecraft Using Line of Sight Measurements, 8th IEEE/CSAA Guidance, Navigation and Control Conference, August 2018, Xiamen, China. [Paper]

Himani Sinhmar, Pallavi Rastogi, Shripad P. Mahulikar, Direct Theoretical Approach to Jet Propulsion Principles based on Pressure Variation inside the Engine preprint: Paper