A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
The paper discusses the challenges of optimizing the cost function parameters of Model Predictive Control (MPC) for…
The paper discusses the challenges of optimizing the cost function parameters of Model Predictive Control (MPC) for…
The paper presents CRANE (CT Robotic Arm and Needle Emplacer), a CT-compatible robot designed to enhance needle…
This article studies the effects of varying levels of robot autonomy on a user’s cognitive load and…
The article presents a system that allows dynamic task allocation within heterogeneous robot teams. The system leverages…
This study presents a novel attempt to replicate human neuromechanical experiments in a virtual environment using a…
This comprehensive review focuses on the development and recent advancements in fault-tolerant control schemes for robotic manipulators….
The article introduces DexDiffuser, a novel method for dexterous grasping that generates, evaluates, and refines grasps on…
The study ‘Preference-Conditioned Language-Guided Abstraction’ proposes a new way to improve learning from demonstrations in robots. It…
The article compares two resolved-rate controllers derived from a mechanics-based and a data-driven approach for bevel-tip needle…
The article titled ‘GPU-Accelerated 3D Polygon Visibility Volumes for Synergistic Perception and Navigation’ focuses on UAV missions…