Papers
7
Total Citations
288
H-Index
6
About
Don Joven Agravante is a leading researcher in humanoid robotics, specializing in physical human-robot collaboration, visual servoing, and whole-body control. His work bridges the gap between autonomous robots and intuitive human interaction, with a focus on enabling humanoid robots to safely and effectively carry objects alongside humans. His most influential paper, "Collaborative human-humanoid carrying using vision and haptic sensing" (2014, 100 citations), introduces a hybrid controller that fuses visual and haptic feedback for joint actions, a foundational contribution to the field. He further advanced this with a complete control framework for collaborative carrying (2019, 61 citations), identifying primitive subtasks for human-robot teamwork. Agravante also pioneered the integration of visual servoing into optimization-based whole-body control (2016, 58 citations), allowing humanoids to handle constraints like field-of-view and occlusion. His work on walking pattern generators for physical collaboration (2016, 29 citations) and early studies on vision-enhanced haptic joint actions (2013, 21 citations) have shaped how robots perceive and respond to human partners. With over 288 total citations, Agravante’s research is essential reading for anyone interested in making humanoid robots truly collaborative partners.
Research Focus
Key Achievements
Top Papers
- 1Collaborative human-humanoid carrying using vision and haptic sensing100 citations · 2014
- 2Human-Humanoid Collaborative Carrying61 citations · 2019
- 3
- 4Walking pattern generators designed for physical collaboration29 citations · 2016
- 5
- 6Visual servoing for the REEM humanoid robot's upper body16 citations · 2013
- 7