Papers
9
Total Citations
416
H-Index
7
About
Reymundo A. Gutierrez is a pioneering researcher in human-robot collaboration and cognitive robotics, whose work bridges the gap between autonomous systems and effective human-machine teamwork. His most influential contribution, the 2015 paper “Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams,” has garnered 251 citations, establishing a foundational framework for understanding how robots can share control with humans to optimize both productivity and worker well-being. Gutierrez’s research explores the cognitive underpinnings of robot intelligence, notably through the development of an episodic memory system integrated with machine emotion, detailed in his 2006 work (48 citations), and a multiagent-based architecture for a robot with a sense of self (2005, 32 citations). His later work advances practical collaboration, including integrated intent recognition and communication for physical tasks (2018, 25 citations) and algorithms like Incremental Task Modification via Corrective Demonstrations and Active Attention-Modified Policy Shaping, which enable robots to learn from human feedback without disrupting workflows. Gutierrez’s contributions are essential for designing robots that are not only technically capable but also socially intuitive, making him a key figure in the future of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2The role of episodic memory and emotion in a cognitive robot48 citations · 2006
- 3Development of a Robot with a Sense of Self32 citations · 2005
- 4
- 5
- 6Incremental Task Modification via Corrective Demonstrations12 citations · 2018
- 7
- 8Learning from Corrective Demonstrations7 citations · 2019
- 9