The design, construction, and use of robots, as well as the use of computer systems for their control, sensory feedback, and information processing.
The article presents a metacognitive generalization framework, Knowledge-Interaction-eXecution (KIX), aiming to enhance the generalist behaviors of artificial intelligence. Unlike humans, artificial agents lack the ability to adapt and flexibly solve…
Continue readingThe research explores the interaction between adversarial robots (specifically a robot drawing desk named ‘UnsTable’) and artists. The study investigates if these robots can push artists to reconsider their initial…
Continue readingThe paper presents the development of a voice-controlled personal assistant robot. The robot takes human voice commands via its inbuilt microphone and executes them, giving an acknowledgement through speech output….
Continue readingThis academic article discusses the challenges of navigating Unmanned Aerial Vehicles (UAVs) in scenarios where signals from the Global Navigation Satellite System (GNSS) are unavailable. The authors propose a novel…
Continue readingThis article presents a hybrid-prediction integrated planning (HPP) system for autonomous driving. The HPP system addresses three major challenges in the integration of prediction and planning modules: inherent trade-offs by…
Continue readingThe paper focuses on the risk-aware planning problem of Unmanned Ground Vehicles (UGVs) in off-road environments. It proposes a Coarse2fine A* global planning algorithm that incorporates a potential field approach…
Continue readingThe article discusses the Robot Trajectron (RT), a new intent estimator that predicts a robot’s trajectory based on its recent position, velocity, and acceleration history. Unlike state-of-the-art models that only…
Continue readingThis research investigates how different observation spaces affect robot learning. The authors focus on three main modalities: RGB, RGB-D, and point cloud. Through extensive testing on various tasks, they found…
Continue readingThe paper discusses the challenge of training general robotic policies from heterogeneous data for various tasks. Current methods often use data from one domain, which is both expensive and difficult….
Continue readingThe paper presents a Simple and efficient Motion Prediction baseLine (SIMPL) for autonomous vehicles. SIMPL provides real-time, accurate motion predictions for all relevant traffic participants. It does this through a…
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