-
JCAI 2022 Workshop on Heuristic Search in Industry2022The increasing demand for same-day delivery and the commitment of e-commerce companies to this service raise a number of challenges in logistics. One of these challenges for fulfillment centers is to coordinate hundreds of mobile robots in their automated warehouses efficiently to allow for the retrieval and packing of thousands of ordered items within the promised delivery deadlines. We formulate this
-
SIGDIAL 20222022Embodied agents need to be able to interact in natural language-understanding task descriptions and asking appropriate follow up questions to obtain necessary information to be effective at successfully accomplishing tasks for a wide range of users. In this work, we propose a set of dialog acts for modelling such dialogs and annotate the TEACh dataset that includes over 3,000 situated, task oriented conversations
-
ICLR 20222022Building sample-efficient agents that generalize out-of-distribution (OOD) in real-world settings remains a fundamental unsolved problem on the path towards achieving higher-level cognition. One particularly promising approach is to begin with low-dimensional, pretrained representations of our world, which should facilitate efficient downstream learning and generalization. By training 240 representations
-
EURASIP Journal on Audio, Speech, and Music Processing2022Microphone and speaker array designs have increasingly diverged from simple topologies due to diversity of physical host geometries and use cases. Effective beamformer design must now account for variation in the array’s acoustic radiation pattern, spatial distribution of target and noise sources, and intended beampattern directivity. Relevant tasks such as representing complex pressure fields, specifying
-
IEEE Transactions on Electromagnetic Compatibility2022As more compact designs and more assembled function modules are utilized in modern electronic devices, radiofrequency interference (RFI) source reconstruction is becoming more challenging because different noise sources may contribute simultaneously. This article presents a novel methodology to reconstruct multiple random noise sources on a real-world product, including several double-data-rate (DDR) memory
Related content
-
May 23, 2022Three of Amazon’s leading roboticists — Sidd Srinivasa, Tye Brady, and Philipp Michel — discuss the challenges of building robotic systems that interact with human beings in real-world settings.
-
April 27, 2022Event’s speaker roster expands for keynotes, innovation spotlights, and leadership sessions.
-
April 25, 2022Advanced machine learning systems help autonomous vehicles react to unexpected changes.
-
April 19, 2022Deep learning to produce invariant representations, estimations of sensor reliability, and efficient map representations all contribute to Astro’s superior spatial intelligence.
-
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.
-
April 08, 2022Scientists and engineers are developing a new generation of simulation tools accurate enough to develop and test robots virtually.