Punith Reddy Vanteddu

Italian Institute of Technology, University of Manchester

Papers

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About

Punith Reddy Vanteddu is a robotics researcher specializing in the estimation, modeling, and control of flying multibody and humanoid robots. His work focuses on enabling precise thrust estimation for advanced aerial platforms, including jet-powered vertical takeoff and landing (VTOL) drones and flying humanoid robots. Vanteddu’s major contributions include developing a Momentum-Based Extended Kalman Filter for thrust estimation on flying multibody robots (23 citations), which addresses the critical challenge of reliable propeller force estimation without direct measurement. He also advanced nonlinear model identification and observer design for small-scale turbojet engines (10 citations), improving stability margins for heavy aerial drones. In his notable 2024 work, Vanteddu pioneered a co-design approach that transforms CAD geometry into URDF models for jet-powered humanoid robots, bridging the gap between simplified optimization and real-world prototyping. His most recent research (2025) explores learning-based aerodynamics for controlling flying humanoid robots, tackling the complex aerodynamic challenges of multi-modal locomotion. With a growing citation impact and a focus on practical, hardware-relevant solutions, Vanteddu is shaping the future of robust, jet-powered aerial robotics.