Researchers at the University of California, Davis have developed a framework that enables autonomous systems to plan paths while accounting for how their actions influence surrounding actors. Unlike existing approaches that rely on reactive planning with fixed predictions or on computationally intensive multi-agent formulations, this technology uses a structured, data-driven interaction model within a tractable theoretical framework. The approach is designed for real-time deployment and supports analyzable performance and safety behavior under defined conditions. It enables more adaptive navigation in environments shared with people or other intelligent machines, improving operational efficiency, safety margins, and integration potential across a range of autonomous products.

Researchers at the University of California, Davis have developed a system and method to continuously separate granular material mixtures based on differences in their frictional properties using non-antiperiodic vibratory excitation.

Researchers at the University of California, Davis have developed a modular, containerized cooling solution designed to support high‑density computing environments such as data centers and AI clusters. The system combines efficient air‑to‑liquid heat exchange, integrated energy storage options, and intelligent controls to reduce operating costs, improve deployment speed, and enhance system uptime.

Researchers at the University of California, Davis have developed advanced spectroscopy devices enabling real-time, cost-effective measurement of elemental composition in airborne particulate aerosols.

Researchers at the University of California, Davis have developed a refractory niobium-based complex concentrated alloy designed for exceptional strength and durability at ultrahigh temperatures with a significantly reduced material’s cost.

Researchers at the University of California, Davis have developed a method to design optimized current profiles for lithium-ion batteries using analytic sensitivity functions. By leveraging a reduced electrochemical model, the approach enables fast and accurate identification of key parameters, improving battery management systems and reducing testing time.

Researchers at the University of California, Davis in collaboration with Deutsche Telekom AG have developed a system and method for monitoring network traffic by dynamically routing traffic sub-populations over fixed monitoring locations without violating traffic engineering policies. This approach leverages existing routing flexibility to collect high-quality flow data without disrupting normal traffic engineering policies

Researchers at the University of California, Davis have developed a portable apparatus that standardizes digit positioning and applies counter-resistance for improved imaging of the flexor tendon system in the hand.

Researchers at the University of California, Davis have developed a system of reusable, sterilizable 3D-printed surgical tools that enables safe, precise intraoperative deployment of Neuropixels probes within standard neurosurgical workflows.

Researchers at the University of California, Davis have developed a solid-state X-ray imager with high temporal resolution.

Researchers at the University of California, Davis have developed an advanced multi x-ray source array system employing dual cathode designs that enhance computed tomography (“CT”) imaging by enabling pulsed, spatially multiplexed x-ray emission with reduced artifacts.

Researchers at the University of California, Davis have developed a technology that introduces a highly adaptable, lightweight robotic end effector designed for complex manipulation tasks in automation.

Researchers at the University of California, Davis have developed a reversed feedback amplifier design for enhanced mm-wave signal amplification.

Researchers at the University of California, Davis have developed a technology that introduces an alternative topology for Fibonacci switched-capacitor converters that significantly reduces switch losses and improves efficiency.

Researchers at the University of California, Davis have developed method for separating quasi-periodic mixed-signals using a single data trace, enhancing wearable sensor applications.

Researchers at the University of California, Davis have developed a technology that introduces new electrolyte compositions that significantly enhance the stability and efficiency of non-aqueous flow batteries.

Researchers at the University of California, Davis have developed an innovative technology that incorporates advanced microchannel architecture into scalable solar thermal receiver unit cells, enabling highly efficient solar energy conversion.

Researchers at the University of California Davis have developed a system designed to predict and prevent ATV rollovers, enhancing rider safety.

Researchers at the University of California Davis have developed a technology that enables the provable editing of DNNs (deep neural networks) to meet specified safety criteria without altering their architecture.

Researchers at the University of California, Davis have developed a technology that introduces a novel approach to hardware security using photonic physically unclonable functions for true random number generation and biometric ID.

Researchers at the University of California, Davis have developed a photothermal patterning flow cell that enables precise and efficient patterning of polymer films, compatible with existing cleanroom photolithography equipment.

Researchers at the University of California, Davis have developed an artificial intelligence machine that uses a combination of electronic neuromorphic circuits and photonic neuromorphic circuits.

Researchers at the University of California, Davis have developed a haptic interface designed to aid visually impaired individuals in navigating their environment using their portable electronic devices.

Researchers at the University of California, Davis have developed a Doppler radar front end to overcome detection nulls without quadrature demodulation.

Researchers at the University of California, Davis have developed a technology that offers a sophisticated solution for collecting and measuring gas emissions from surfaces, particularly skin, with high sensitivity and specificity.