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10/09/2021
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning
A major challenge in research involving artificial intelligence (AI) is ...
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07/15/2020
Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation
Algorithms based on Monte-Carlo sampling have been widely adapted in rob...
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05/04/2020
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond
Integrated circuits and electronic systems, as well as design technologi...
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03/20/2019
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments
Recent advancements have led to a proliferation of machine learning syst...
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12/12/2016
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
Deep neural networks are gaining in popularity as they are used to gener...
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07/19/2016