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About

Jeremiah Neubert’s research lies at the intersection of robotic vision, control, and bio-inspired motion, with a focus on enabling robots to perceive and interact with their environments more naturally. His early work on robust active stereo calibration (2003, 9 citations) established a method for determining kinematic parameters in robot-centric frames, improving scene estimation from motion. He later pioneered direct mapping from visual input to motor torques (2006, 6 citations), bypassing traditional kinematic commands to achieve more responsive control. Neubert’s biologically-inspired torque pulse approach (2010, 3 citations) and subsequent work on jerk reduction (2012, 3 citations) advanced human-like reactive motion, while his Kinect-based system for 3D moving object interception (2015, 3 citations) demonstrated fivefold performance gains through single-frame velocity estimation. His Tetrabot platform (2010, 2 citations) introduced resonance-based locomotion for harsh environments, and his recent work on climbing collaborative mobile manipulators for lunar truss structures (2023, 3 citations) addresses in-space construction challenges. Beyond research, Neubert has contributed to engineering education through NASA’s Robotic Mining Competition (2016, 2 citations), providing students with systems engineering experience. With a career spanning foundational calibration techniques to cutting-edge space robotics, Neubert’s work continues to shape how robots see, move, and build.