About

Philip Scales is a pioneering researcher at the intersection of social robotics and human-robot interaction (HRI), with a core focus on how robot motion profiles can convey complex social and emotional cues. His work introduces the novel concept of "movement prosody," drawing a powerful parallel between vocal intonation and robotic navigation to demonstrate how trajectory planning can express attributes like frailty or confidence. Scales’ key contributions include developing a design approach for social robot navigation that treats movement as a form of interaction, moving beyond mere obstacle avoidance to create robots that communicate through their motion. His most cited paper, "Studying Navigation as a Form of Interaction" (2020, 10 citations), laid the groundwork for this paradigm, while his 2022 study on socio-expressive navigation (4 citations) provided empirical evidence that motion profiles can shape human perception. His 2024 work on planning socially expressive trajectories (3 citations) further refines these algorithms. By bridging robotics with psychology and design, Scales is redefining how mobile robots navigate human spaces—not just as tools, but as socially aware agents capable of non-verbal communication.

Research Focus

Key Achievements

3
H-Index
4
Papers
21
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Studying Navigation as a Form of Interaction: a Design Approach for Social Robot Navigation Methods
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Informatique de Grenoble, Université Grenoble Alpes, Institut polytechnique de Grenoble

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago