3 papers
cs.RO2026
Federated Subspace Guided Vision-Language-Action Policy Distillation for Non-IID Multi-Robot Manipulation
Biprodip Pal, Kaushik Roy, Yanming Zhu +3
Federated learning offers a natural way for multiple robots to jointly improve manipulation policies without requiring centralized access to training demonstrations. However, non-I…
cs.LG2024
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
Kaushik Roy, Akila Dissanayake, Brendan Tidd +1
Lifelong imitation learning for manipulation tasks poses significant challenges due to distribution shifts that occur in incremental learning steps. Existing methods often focus on…
cs.RO2024
Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects
Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh +1
Accurate modelling of object deformations is crucial for a wide range of robotic manipulation tasks, where interacting with soft or deformable objects is essential. Current methods…