The 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 readingThe article introduces RFTrans, an RGB-D-based method for surface normal estimation and manipulation of transparent objects by leveraging refractive flow. The system includes the RFNet, which predicts refractive flow, object…
Continue readingThis article presents a system called Distillation and Retrieval of Online Corrections (DROC) that utilizes human language corrections to enhance robot performance in novel environments. The system, powered by a…
Continue readingThe study introduces a novel approach to Offline Goal-Conditioned Reinforcement Learning (GCRL), named SMORe. GCRL is crucial for creating generalist agents that can use existing datasets to learn diverse skills…
Continue readingThe paper presents RoboFlamingo, a novel framework for robot manipulation using vision-language models (VLMs). The researchers used pre-trained VLMs and fine-tuned them on robotics data, resulting in a system that…
Continue readingThe paper discusses the development of a model-based method to estimate 3D force and contact for a soft-bubble visuotactile sensor. The method uses a finite element model of the force…
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