The design, construction, and use of robots, as well as the use of computer systems for their control, sensory feedback, and information processing.
The paper presents a combined task-level reinforcement learning and motion planning framework to solve a multi-class in-rack test tube rearrangement problem. The framework uses reinforcement learning at the task level…
Continue readingThe article presents a new neural network structure called PPNet, designed for end-to-end near-optimal path planning. Traditional path planners, such as sampling-based ones, often have slow convergence to the optimal…
Continue readingThe article discusses a system that uses tactile information to estimate the rotation angle of a grasped object when slippage occurs during robotic manipulation tasks. The system uses a neural…
Continue readingThis study introduces ICGNet, an architecture designed for object-centric grasping in robotics. The method takes pointcloud data from a single arbitrary viewing direction as input and generates an instance-centric representation…
Continue readingThe paper discusses the development of A-KIT, an adaptive Kalman-informed transformer, designed to improve the accuracy of sensor fusion in navigation applications. Traditional methods, such as the extended Kalman filter…
Continue readingThis article presents a new control framework using vision language models (VLMs) for multiple tasks and robots. The authors combine the vision-language CLIP model with randomized control. This framework aims…
Continue readingThe article introduces a new approach that combines tactile estimation and control for in-hand object manipulation. This method integrates measurements from robot kinematics and an image-based tactile sensor to estimate…
Continue readingThe article presents a novel approach for Human-Robot Interaction (HRI), using direct motion-based communication. The communication is enabled through four distinct gestures, two handshakes (formal and informal) and two letters…
Continue readingThis paper presents a novel approach to improving quadrotor control by adapting the trajectory generation component rather than changing the controller. The authors argue that this method can enhance trajectory…
Continue readingThis study addresses the challenge of cooperative decision-making in Connected Autonomous Vehicles (CAVs) across diverse road topologies. Current methodologies are limited to specific scenarios, but the authors propose a universal…
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