activity
20172025
most citedRemote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance

72 citations · 173 across the 18 of their papers we have counts for

collaborators

22 papers

cs.RO2025

Vision-Language-Policy Model for Dynamic Robot Task Planning

Jin Wang, Kim Tien Ly, Jacques Cloete +3

Bridging the gap between natural language commands and autonomous execution in unstructured environments remains an open challenge for robotics. This requires robots to perceive an…

cs.RO2025

Unified Hierarchical MPC in Task Executing for Modular Manipulators across Diverse Morphologies

Maolin Lei, Edoardo Romiti, Arturo Laurenzi +4

This work proposes a unified Hierarchical Model Predictive Control (H-MPC) for modular manipulators across various morphologies, as the controller can adapt to different configurat…

cs.RO2025★ 1 cited

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots

Boyuan Deng, Luca Rossini, Jin Wang +3

Adaptive recovery from fall incidents are essential skills for the practical deployment of wheeled-legged robots, which uniquely combine the agility of legs with the speed of wheel…

cs.RO2025★ 4 cited

A High-Force Gripper with Embedded Multimodal Sensing for Powerful and Perception Driven Grasping

Edoardo Del Bianco, Davide Torielli, Federico Rollo +6

Modern humanoid robots have shown their promising potential for executing various tasks involving the grasping and manipulation of objects using their end-effectors. Nevertheless,…

cs.RO2024

Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model

Jin Wang, Arturo Laurenzi, Nikos Tsagarakis

Enabling humanoid robots to perform autonomously loco-manipulation in unstructured environments is crucial and highly challenging for achieving embodied intelligence. This involves…

cs.RO2024★ 1 cited

HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation

Jin Wang, Rui Dai, Weijie Wang +3

Enabling robots to autonomously perform hybrid motions in diverse environments can be beneficial for long-horizon tasks such as material handling, household chores, and work assist…