About

Daniel Sidobre is a prominent robotics researcher whose work has fundamentally shaped the fields of human-robot interaction, motion planning, and robotic manipulation. Based at a leading French research institution, his career has centered on a critical challenge: enabling robots to operate safely and comfortably alongside humans in real-world environments, rather than in the isolated settings typical of industrial robotics. Sidobre's most influential contribution is his development of smooth, jerk-bounded trajectory planning methods for service manipulator robots. His 2008 paper on soft motion trajectory planning (132 citations) established foundational principles for generating fluid, predictable robot movements that prioritize human safety and comfort — work further expanded in his research on synthesizing robot motions adapted to human presence (126 citations). These contributions have become touchstones for researchers designing collaborative robots in domestic and industrial settings. Beyond motion planning, Sidobre made significant advances in grasp planning, introducing inertia-based grasp models and efficient multi-fingered hand frameworks that brought robots closer to human-like dexterity. His work on dual-arm manipulation and human-robot co-manipulation further broadened his impact. With over 560 cumulative citations across his key publications, Sidobre's research has provided essential theoretical and practical tools for the next generation of collaborative, service-oriented robotics.

Research Focus

Key Achievements

14
H-Index
28
Papers
718
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Soft motion trajectory planner for service manipulator robot
132 citations · 2008
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: Université Fédérale de Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Laboratoire d'Analyse et d'Architecture des Systèmes, Institut National des Sciences Appliquées de Toulouse

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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