13 citations · 18 across the 5 of their papers we have counts for
7 papers
GIFT: Geometry-Induced Functional Transfer for Category-level Object Manipulation
Cristiana de Farias, Luis Figueredo, Riddhiman Laha +5
Robotic manipulation of unfamiliar objects in new environments is challenging due to limited generalisation capabilities. We propose a new skill transfer framework, GIFT (Geometry-…
Haptic-guided assisted telemanipulation approach for grasping desired objects from heaps
Maxime Adjigble, Rustam Stolkin, Naresh Marturi
This paper presents an assisted telemanipulation framework for reaching and grasping desired objects from clutter. Specifically, the developed system allows an operator to select a…
3D Spectral Domain Registration-Based Visual Servoing
Maxime Adjigble, Brahim Tamadazte, Cristiana de Farias +2
This paper presents a spectral domain registration-based visual servoing scheme that works on 3D point clouds. Specifically, we propose a 3D model/point cloud alignment method, whi…
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…