Imitation Learning Inputting Image Feature to Each Layer of Neural Network
This paper presents a method to improve imitation learning in robots by focusing on data with a…
Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments
This paper addresses the challenge of controlling a drone in unknown dynamic environments using a new model…
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning
The paper presents a combined task-level reinforcement learning and motion planning framework to solve a multi-class in-rack…
PPNet: A Novel Neural Network Structure for End-to-End Near-Optimal Path Planning
The article presents a new neural network structure called PPNet, designed for end-to-end near-optimal path planning. Traditional…
Measuring Object Rotation via Visuo-Tactile Segmentation
The article discusses a system that uses tactile information to estimate the rotation angle of a grasped…
ICGNet: A Unified Approach for Instance-Centric Grasping
This study introduces ICGNet, an architecture designed for object-centric grasping in robotics. The method takes pointcloud data…
A-KIT: Adaptive Kalman-Informed Transformer
The paper discusses the development of A-KIT, an adaptive Kalman-informed transformer, designed to improve the accuracy of…
CLIP feature-based randomized control using images and text for multiple tasks and robots
This article presents a new control framework using vision language models (VLMs) for multiple tasks and robots….
Simultaneous Tactile Estimation and Control for Extrinsic Dexterity
The article introduces a new approach that combines tactile estimation and control for in-hand object manipulation. This…
Training program on sign language: social inclusion through Virtual Reality in ISENSE project
The paper presents the ISENSE project aimed at assisting deaf students by offering technological tools for teaching…