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July 10, 20265 min readHydroShear, a new physics-based simulator, teaches robots how to use their sense of touch to perform complex manipulation tasks, in a way that transfers seamlessly to the real world. -
July 9, 202610 min read -
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Hosted by Danielle Perszyk, cognitive scientist at Amazon, the podcast features researchers tackling the hardest problems in agentic AI — from building reliable perception systems to designing training environments that mirror human learning.
The Antibody Developability Benchmark is powered by one of the most diverse antibody datasets in public literature, enabling transparent performance evaluation for AI-guided antibody design.
Challenge pushes teams to demonstrate measurable gains in secure-coding performance while building AI agents that advance real-world utility and reliability at scale.
Initiative will fund over 100 doctoral students researching machine learning, computer vision, and natural-language processing at nine universities.
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Winter Simulation Conference 20262026Simulation models are widely used for decision support in manufacturing systems, yet their accuracy degrades over time as real-world operations evolve. Existing approaches to model maintenance rely heavily on manual diagnosis by domain experts, creating a bottleneck in sustaining model fidelity. This paper proposes a methodology for root cause attribution of simulation model drift using system logs and
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2026The ability to push large objects in a goal-directed manner using onboard egocentric perception is an essential skill for humanoid robots to perform complex tasks such as material handling in warehouses. To robustly manipulate heavy objects to arbitrary goal configurations, the robot must cope with unknown object mass and ground friction, noisy onboard perception, and actuation errors; all in a real-time
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IEEE Security & Privacy2026The Rust programming language provides stronger guarantees about memory safety than C. Therefore, translating to the Rust programming language is one way to reduce security vulnerabilities. One common translation strategy is using LLM queries. We present an alternate agentic approach that gives an LLM freedom and guardrails. When programming in C, a programmer must manually manage memory and other resources
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CVPR 2026 Workshop on Actionable Visual Perception for Robotics2026Vision-based navigation is important for autonomous legged robots, enabling semantic target search and inspection without dense maps or specialized sensors. However,existing goal-conditioned navigation methods often rely on pre-curated goal images, lack reliable stopping mechanisms, and are sensitive to detector noise and gait-induced camera perturbations. To address these limitations, we pro-pose a multi-phase
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2026Despite remarkable progress in text-guided image editing, generative models frequently fail to preserve visual object consistency, defined as the preservation of a subject’s key attributes throughout the editing process. We address this limitation through three contributions. First, we introduce ABO-Edit, a dataset specifically designed to study object consistency, comprising over 12,000 triplets of source
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Gretchen Ertl
The program offers unrestricted funds and other resources to support research at academic institutions and non-profit organizations in areas that align with our mission.
A global university competition to drive secure innovation in generative AI technology, which focuses on responsible AI and large language model coding security.
Credit: Wolfram Scheible
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Courtesy of Pai-Ling Yin
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