Jean-Pierre Richer

Université de Poitiers

Papers

3

Total Citations

34

H-Index

3

About

Jean-Pierre Richer is a leading figure in surgical robotics, specializing in autonomous systems for minimally invasive procedures and robotic-assisted craniotomy. His work bridges the gap between advanced mechatronics and clinical needs, focusing on enhancing precision and reducing surgeon fatigue. Richer’s most impactful contribution is the development of an autonomous camera-holder robot for laparoscopic surgery, detailed in his 2021 paper (23 citations). This system uses exteroceptive sensors—specifically a motion capture system—to enable a 7-DoF collaborative robot to autonomously track surgical instruments, freeing the surgeon from manual camera control. In parallel, Richer has advanced craniotomy robotics through the design of a reconfigurable spherical parallel mechanism (SPM) that reduces torque during bone drilling, validated with experimental data (6 citations). His foundational work includes kinematic and force experiments on cadavers (5 citations), which provided essential specifications for tele-operated craniotomy robots. These studies demonstrate Richer’s commitment to translating rigorous experimental data into practical, high-impact surgical tools. His research not only improves surgical outcomes but also sets a benchmark for integrating collaborative robotics into the operating room.

Research Focus

Key Achievements

3
H-Index
3
Papers
34
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Towards an Autonomous Robot-Assistant for Laparoscopy Using Exteroceptive Sensors: Feasibility Study and Implementation
23 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Université de Poitiers

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago