Commercial and industrial deployments of robot fleets at Amazon, Nimble, Plus One,
Waymo, and Zoox query remote human teleoperators when robots are at risk or unable to …

In multi-robot systems, robots often gather data to improve the performance of their deep
neural networks (DNNs) for perception and planning. Ideally, these robots should select the …

Recent advancements in blockchain technology have led to the development of various
decentralized service platforms for various tasks, like machine learning and wireless …

In recent years, significant progress has been made in collecting large-scale datasets to
improve segmentation and autonomous driving models. These large-scale datasets are …

Foundation models have recently expanded into robotics after excelling in computer vision
and natural language processing. The models are accessible in two ways: open-source or …

Robot grasping is one of the most important abilities of modern intelligent robots, especially
industrial robots. However, most of the existing robot arm's grasp detection work is highly …

Recent breakthroughs in deep learning have revolutionized natural language processing,
computer vision, and robotics. Nevertheless, reliable robot autonomy in unstructured …

In real-world scenarios, the data collected by robots in diverse and unpredictable
environments is crucial for enhancing their perception and decision-making models. This …

In this work, we develop a scalable, local trajectory optimization algorithm that enables
robots to interact with other agents. It has been shown that the interactions of multiple agents …