Max Robotics — Global Service Robot Directory + US Certification

About

Aseem V. Borkar’s research lies at the intersection of multi-agent systems, trajectory planning, and autonomous surveillance, with a particular focus on enabling coordinated, collision-free motion for robotic teams. His most significant contribution is the innovative application of Lissajous curves to trajectory planning, a concept he has developed across multiple highly cited works. His 2019 paper on this topic (14 citations) established a foundational method for orchestrating multiple agents, while his 2016 work (9 citations) extended this into a comprehensive strategy for simultaneous area coverage, periodic surveillance, and guaranteed detection of a rogue target attempting to exit a region. This dual-purpose approach—addressing coverage and target detection in one framework—is a notable achievement in the field. Borkar also advanced the state of the art in target tracking with range-only information (14 citations, 2015) and developed novel methods for generating relative heading-based patterns for unicycle robots (2017, 5 citations), enabling annular, centered trajectories useful for persistent monitoring around a fixed landmark. His work is characterized by elegant geometric solutions to complex coordination problems, making him a key figure in the development of practical, provable multi-agent surveillance systems.