Recent publications
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AAAI 2023 Spring Symposium Series2023This paper describes the development of algorithms that decide when to move, where to move, and how to look for people in a home environment. We introduce a design framework that defines the design principles, key decision points, and technical approaches for a social robot to proactively be with people for companionship and assistance in the home. Through a series of evaluations ranging from simulations
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2023This paper introduces a deep learning (DL) approach to predicting congestion delays in large multi-robot systems. The problem is motivated by real-world problems in modern logistics automation, such as a warehouse with hundreds to thousands of coordinated mobile robots. Here, the large scale, the complexity of the control software, and the uncertainties of the robots’ dynamics make direct (simulated) prediction
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2022 International EOS/ESD Symposium on Design and System (IEDS)2022Electro-Static Discharge (ESD) damage is a common failure mode in the manufacturing process. This paper introduces a continuous ESD monitoring system for New Product Introduction (NPI) line ESD qualification and early detection of potential static charges buildup on devices to defuse the ESD damage risk.
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CoRL 2022 Workshop on Language and Robot Learning2022Household environments are visually diverse. Embodied agents performing Vision-and-Language Navigation (VLN) in the wild must be able to handle this diversity, while also following arbitrary language instructions. Recently, VisionLanguage models like CLIP have shown great performance on the task of zeroshot object recognition. In this work, we ask if these models are also capable of zero-shot language grounding
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Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks. Recent work building systems for translating natural language to executable actions for task completion in simulated embodied agents is focused on directly predicting low level action sequences that would be expected to be directly executable by a physical
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May 25, 2022Program empowers Black, Latinx, and Native American students to become industry leaders through scholarship, research, and career opportunities.
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May 24, 2022Amazon fulfillment centers use thousands of mobile robots. To keep products moving, Amazon Robotics researchers have crafted unique solutions.
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April 25, 2022Advanced machine learning systems help autonomous vehicles react to unexpected changes.
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April 18, 2022An advanced perception system, which detects and learns from its own mistakes, enables Robin robots to select individual objects from jumbled packages — at production scale.
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April 08, 2022Scientists and engineers are developing a new generation of simulation tools accurate enough to develop and test robots virtually.
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March 15, 2022In-person event featuring some of the brightest leaders in science, academia, and business is planned for June 21-24 in Las Vegas
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March 15, 2022Amazon Research Award recipient Russ Tedrake is teaching robots to manipulate a wide variety of objects in unfamiliar and constantly changing contexts.
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February 24, 2022Jovonia Thibert, director of strategy for Amazon Robotics, has a career that spans two decades — thanks in part to a lesson from her parents.
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February 16, 2022Amazon funding will assist with a senior capstone course where students will receive mentorship from Amazon leading researchers, software developers, and engineers.
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February 09, 2022The collaboration will focus on advancing innovation in core robotics and AI technologies and their applications.
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January 13, 2022Guilherme Pereira, a 2019 Amazon Research Award recipient, is researching methods to improve a robot’s ability to work autonomously.
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November 29, 2021The AWS Machine Learning Research Award winner is working to develop methods and open-source libraries that can potentially benefit the artificial intelligence and robotics communities.
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November 15, 2021The computer scientist recently finished her second internship at Amazon, where she worked on a new way to estimate the human expression on faces in images.