13 citations · 17 across the 2 of their papers we have counts for
4 papers · 1 filter
SpectGRASP: Robotic Grasping by Spectral Correlation
Maxime Adjigble, Cristiana de Farias, Rustam Stolkin +1
This paper presents a spectral correlation-based method (SpectGRASP) for robotic grasping of arbitrarily shaped, unknown objects. Given a point cloud of an object, SpectGRASP extra…
Dual Quaternion-Based Visual Servoing for Grasping Moving Objects
Cristiana de Farias, Maxime Adjigble, Brahim Tamadazte +2
This paper presents a new dual quaternion-based formulation for pose-based visual servoing. Extending our previous work on local contact moment (LoCoMo) based grasp planning, we de…
Metrics and Benchmarks for Remote Shared Controllers in Industrial Applications
Claudio Zito, Maxime Adjigble, Brice D. Denoun +3
Remote manipulation is emerging as one of the key robotics tasks needed in extreme environments. Several researchers have investigated how to add AI components into shared controll…
Hypothesis-based Belief Planning for Dexterous Grasping
Claudio Zito, Valerio Ortenzi, Maxime Adjigble +3
Belief space planning is a viable alternative to formalise partially observable control problems and, in the recent years, its application to robot manipulation problems has grown.…