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About

Keerthi Sagar is a robotics researcher whose work spans tensegrity robotics, human-robot collaboration, and multi-agent path planning. With a growing body of work accumulating nearly 100 citations, Sagar has established himself as a thoughtful contributor to some of the most pressing challenges in modern robotics. His most-cited work, "HEDRA" (2022, 22 citations), introduces a bio-inspired modular tensegrity robot with polyhedral parallel modules, advancing a paradigm that prioritizes structural compliance, safety, and weight reduction. Complementing this, his research into human-robot collaboration with high-payload industrial robots addresses a critical gap in the field — enabling heavy-duty robots to work safely alongside humans through innovative hardware-software integration and tactile sensing architectures. Sagar's earlier contributions through the SwarmItFix European project demonstrate his breadth, encompassing swarm robotics, novel locomotion systems, and AI-driven multi-agent path planning for flexible manufacturing environments, including real-world deployment at Piaggio Aerospace in Italy. His more recent theoretical contributions, including polytope-based performance measures and stiffness modeling of tendon-driven robots, reflect a researcher equally comfortable with rigorous mathematical foundations as with applied system design. Sagar's work is particularly valuable for students interested in the intersection of structural robotics, collaborative automation, and intelligent planning.