C. Perron

About

C. Perron’s research centers on industrial robotics, with key contributions in visual servoing, force control, and automated assembly systems. Their most cited work (82 citations) introduces a switching control strategy for image-based visual servoing (IBVS) that integrates a laser pointer into an Eye-in-Hand robotic system. This innovation enables precise detection, grasping, and assembly of planar objects in manufacturing, with the laser pointer guiding the end effector to a position where a pump can reliably pick up components. Perron further advanced IBVS in a 2007 study (13 citations) by developing a switching controller that adjusts the robot’s pose relative to stationary objects, ensuring image features converge to desired targets. In force control, Perron proposed a new formulation for industrial robot controllers, implemented on a KUKA robot (8 citations), which accounts for full kinematics and position response to design a PI controller. Earlier work (5 citations) demonstrated visual object tracking using a camera on a 6-DOF Motoman robot, tracking a laser beam in a 2D plane. With a total of over 110 citations, Perron’s work bridges theoretical control design and real-time industrial implementation, offering practical solutions for robotic manufacturing and assembly.

Research Focus

Key Achievements

Top Papers

1. 1
   Switching Control of Image-Based Visual Servoing With Laser Pointer in Robotic Manufacturing Systems

   82 citations · 2008
2. 2
   Switching control of image based visual servoing with laser pointer in robotic assembly systems

   13 citations · 2007
3. 3
   New formulation for an industrial robot force controller: Real-time implementation on a KUKA robot

   8 citations · 2007
4. 4
   Visual object tracking by a camera mounted on a 6DOF industrial robot

   5 citations · 2005
5. 5
   NEW OPTIMAL FORMULATION FOR AN INDUSTRIAL ROBOT FORCE CONTROLLER

   4 citations · 2008

Key Collaborators

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