Diego Alberto Bravo Montenegro
Papers
9
Total Citations
45
H-Index
4
About
Diego Alberto Bravo Montenegro is a robotics and control systems researcher whose work centers on bipedal locomotion, robot dynamics, and advanced control strategies. His research has made meaningful contributions to the fields of humanoid robotics and autonomous mechanical systems, with a particular focus on energy-efficient gait generation and dynamic modeling. Among his most influential contributions is his comparative study of energy consumption in biped robots, examining trajectory generation techniques including torque optimization and the cart-table model using the Bioloid platform (12 citations). His work on robotic bicycle control has also garnered attention, with a comparative analysis of Computed Torque Control, LQR, and PID strategies earning 10 citations and offering practical insight into balancing autonomous wheeled systems. Earlier foundational work on motion capture using Microsoft Kinect for biped trajectory generation (7 citations) demonstrated his commitment to accessible, cost-effective robotics research. Bravo Montenegro has also contributed to bipedal robot design and construction, dynamic simulation, and novel actuation strategies including musculotendon actuators for knee joints. His body of work, accumulating over 45 citations, reflects a consistent effort to bridge theoretical control methods with physical robotic implementation, making his research particularly valuable for students and engineers working in humanoid robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Design of a Dynamic Simulator for a Biped Robot5 citations · 2021
- 5Control of a Robotic Bicycle3 citations · 2018
- 6
- 7Motion capture system for applications in robotics2 citations · 2014
- 8Dynamics and Preview Control of a Robotics Bicycle2 citations · 2020
- 9