Papers
13
Total Citations
176
H-Index
7
About
Manish Raj is a robotics researcher whose work sits at the intersection of bipedal locomotion, humanoid robot control, and rescue robotics. His most significant contributions lie in developing sophisticated computational models for biped walking systems — a notoriously complex challenge given the hybrid discrete-continuous nature of human gait. His 2016 paper on modeling bipedal locomotion using hybrid automata (42 citations) and his work applying Restricted Boltzmann Machines to bidirectional joint angle trajectory association (40 citations) represent landmark contributions to data-driven and probabilistic approaches in humanoid motion planning. His 2017 research on multiobjective optimization of bipedal locomotion (26 citations) further extended this work by addressing real-world performance trade-offs in robot movement. Beyond humanoid systems, Raj has demonstrated a commitment to socially impactful engineering through his notable rescue robotics research, proposing technical solutions for bore well child rescue operations in India — work that attracted 30 combined citations across two studies. With additional contributions in mobile robot path planning, ZMP-based stability control, and gait pattern generation using orbital energy concepts, his cumulative citation record reflects a productive and diverse research portfolio in applied robotics spanning nearly a decade.
Research Focus
Key Achievements
Top Papers
- 1Modeling bipedal locomotion trajectories using hybrid automata42 citations · 2016
- 2
- 3Multiobjective optimized bipedal locomotion26 citations · 2017
- 4Rescue Robotics in Bore well Environment16 citations · 2014
- 5An approach towards rescue robotics in bore well environment14 citations · 2014
- 6
- 7
- 8Humanoid Gait Pattern Generation with Orbital Energy4 citations · 2021
- 9ZMP based feedback control of ankle joint3 citations · 2015
- 10ATOM- A Low-Cost Mobile Manipulation Platform for Research and Testing3 citations · 2012