Marc Dalmasso
Papers
3
Total Citations
41
H-Index
3
About
Marc Dalmasso is a researcher specializing in human-robot collaboration (HRC), with a particular focus on multi-agent path planning, collaborative navigation, and autonomous decision-making in shared environments. His work addresses one of robotics' most nuanced challenges: enabling robots and humans to communicate, negotiate, and execute joint plans effectively in real-world tasks. Dalmasso's most influential contribution, "Human-Robot Collaborative Multi-Agent Path Planning using Monte Carlo Tree Search and Social Reward Sources" (2021, 22 citations), introduced a sophisticated framework in which robots proactively compute coordinated plans for both themselves and human collaborators, integrating social reward signals to align robotic behavior with human expectations. This work built upon his earlier 2019 study exploring socially-aware reward structures in collaborative navigation search scenarios. His 2023 paper on shared task representation (14 citations) critically advances the field by addressing a recognized stagnation in human-robot collaborative navigation research, pushing beyond implicit collaboration toward explicit, structured task allocation frameworks. Collectively, Dalmasso's contributions have garnered over 40 citations, establishing him as a meaningful voice in bridging artificial intelligence planning techniques with socially intelligent robotics — work increasingly vital as collaborative robots enter complex, human-populated environments.
Research Focus
Key Achievements
Top Papers
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- 3Human-robot collaborative navigation search using social reward sources5 citations · 2019