Papers
7
Total Citations
27
H-Index
4
About
Mark Bedillion’s research centers on novel robotic actuation and manipulation systems, with a particular focus on braking-based control strategies. His major contributions include pioneering the concept of the Mixed Conventional/Braking Actuation Mobile Robot (MAMR), which replaces traditional steering actuators with controllable brakes to reduce complexity, weight, and cost. This work spans mechatronic design, nonlinear control synthesis, fuzzy logic, and model predictive control for parking and trajectory tracking. Bedillion also introduced a distributed manipulation concept using selective braking, where objects in a uniform force field are positioned and oriented by applying braking forces—a novel approach to part handling. His recent work explores programmable substrates for studying jumping robots on non-rigid surfaces, expanding into bio-inspired robotics. With over 27 citations across his most-cited papers, his research has influenced the design of simpler, more robust mobile robots and manipulation systems. Notably, his MAMR concept addresses the critical problem of primary actuation failure, offering a practical solution for real-world applications. Bedillion’s work is essential reading for students and researchers interested in minimal-actuation robotics, distributed manipulation, and control system innovation.
Research Focus
Key Achievements
Top Papers
- 1A distributed manipulation concept using selective braking6 citations · 2014
- 2
- 3
- 4
- 5A Programmable Substrate to Study Robots Jumping From Non-Rigid Surfaces3 citations · 2024
- 6Control for Robots With Braking Actuators in a Uniform Force Field3 citations · 2015
- 7