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Himani Sinhmar

Himani Sinhmar

Robotics Researcher specializing in control theory and multi-agent systems

Princeton, New Jersey

Summary

Himani Sinhmar is a dedicated robotics researcher with a strong academic background, currently serving as a Postdoctoral Research Associate at Princeton University. Her work focuses on control theory, multi-agent systems, autonomy, and collective intelligence, aiming to develop practical and theoretically sound solutions for safety and reliability in robotics, particularly within unstructured and dynamic environments. github+4
Her doctoral research at Cornell University, under Prof. Hadas Kress-Gazit, involved developing certifiably safe controllers and motion planners for resource-constrained robotic systems. She is particularly noted for her work on minimalist robotic swarms, including contributions to guaranteed encapsulation of targets with unknown motion and decentralized control strategies. github+3
Himani has significantly contributed to the field of micro-robotics, collaborating on projects involving autonomous micron-scale origami robots and electrically configurable microscopic metasheet robots. Her work in this area has been published in prestigious journals like Nature Materials, demonstrating her interdisciplinary research capabilities. github+3
Her research and academic achievements have garnered recognition, including the Robotics: Science and Systems Pioneers award and Caltech’s Trailblazing Young Researcher Award, highlighting her emerging leadership and impact in the robotics and AI community. princeton+2
Himani has also engaged in industrial research, notably as a Summer Research Intern at Mitsubishi Electric Research Laboratories (MERL), where she contributed to motion planning and control for UAVs, and at ISRO Satellite Center for spacecraft navigation research. github+2

Work

Education

Writing

Electronically configurable microscopic metasheet robots

January 1, 2024

This paper demonstrates microscopic electronically configurable morphing metasheet robots (metabots) that can achieve multiple shape transformations and locomotion through independent actuation of different local regions with over 200 hinges, advancing a metamaterial paradigm for microscopic, continuum, compliant, programmable robots.

Favicon imagehimanisinhmar.github.io

Practical and Safe Navigation Function Based Motion Planning of UAVs

January 1, 2024

Discusses a method for motion planning of unmanned aerial vehicles (UAVs) that ensures practical and safe navigation.

Favicon imagehimanisinhmar.github.io

Multi-Source Encapsulation With Guaranteed Convergence Using Minimalist Robots

January 1, 2024

Presents a study on achieving guaranteed convergence in encapsulating multiple targets using minimalist robotic swarms.

Favicon imagehimanisinhmar.github.io

Motion Planning and Control with Multi-Stage Construction of Invariant Sets

January 1, 2024

A patent application proposing a system and method for controlling vehicle movement in constrained environments subject to disturbed vehicle models with uncertainty.

Favicon imagepatents.justia.com

Guaranteed Encapsulation of Targets with Unknown Motion by a Minimalist Robotic Swarm

January 1, 2023

Explores decentralized control for minimalistic robotic swarms to guarantee target encapsulation even when the target's motion is unknown.

Favicon imagehimanisinhmar.github.io

Decentralized Control of Minimalistic Robotic Swarms For Guaranteed Target Encapsulation

January 1, 2022

Focuses on decentralized control strategies for robotic swarms to ensure the encapsulation of targets.

Favicon imagehimanisinhmar.github.io

Consensus of networked double integrator systems under sensor bias

January 1, 2022

Examines the consensus problem in networked double integrator systems when sensor biases are present.

Favicon imagehimanisinhmar.github.io

Hobbies

Enjoys running or hiking through the woods. github

An avid reader, keen to discuss world affairs, human psychology, and philosophy of science. github