Claims Browser

The autonomous robotic platform enables automated, repeatable, and spatially resolved physiological measurements that go beyond passive imaging

"The platform enables automated, repeatable, and spatially resolved physiological measurements that go beyond passive imaging"

The proposed robotics system opens new directions for autonomous agricultural inspection and plant-aware manipulation

"the proposed system provides a robotics-driven approach to high-resolution plant phenotyping and opens new directions for autonomous agricultural inspection and plant-aware manipulation"

Physical reservoir computing systems can implement causal information filtering through asymmetric coupling anisotropy, creating deterministic upstream-to-downstream information flow

"We demonstrate a physical mechanism for causal information filtering in a physical reservoir computing (PRC) by exploiting asymmetric coupling anisotropy. Using a network of coupled Duffing oscillators, we show that the directionality of internal coupling induces a spatial gradient in the effective potential, establishing a deterministic upstream-to-downstream information flow."

Asymmetric coupling anisotropy in physical reservoir computing allows for selective amplification of semantic drifts, triggering macroscopic saddle-node bifurcation as a physical interlock before global computational failure

"This anisotropy allows for the selective amplification of semantic drifts, triggering a macroscopic saddle-node bifurcation as a physical interlock before global computational failure."

Local phase transitions in physical reservoir computing networks can purge anomalous information while preserving computational integrity of remaining nodes

"Through spatiotemporal analysis of a 50-node system under traveling wave inputs, we confirm that local phase transitions effectively purge anomalous information while preserving the computational integrity of the remaining nodes."

The intrinsic causality of reservoir topology provides a robust framework for autonomous reliability and fault-tolerant physical intelligence

"The results suggest that the intrinsic causality of the reservoir's topology provides a robust framework for autonomous reliability and fault-tolerant physical intelligence."

Interactions alone may not suffice to bring bio-inspired swarms to a desired aggregate configuration within a prescribed time horizon

"In bio-inspired swarms, however, interactions alone may not suffice to bring the population to a desired aggregate configuration within a prescribed time horizon"

The Schrödinger bridges framework can be applied to finite-horizon minimum-energy collective steering for inertial swarms subject to stochastic disturbances

"Our formalism is rooted in the theory of Schrödinger bridges, which has inspired contemporary developments spanning statistical inference, biological modeling, stochastic control, and generative learning."

Optimal control for swarm steering can dynamically exploit or counteract interaction forces depending on whether they are favorable or adversarial to the steering task

"Numerical examples show that the obtained optimal control (corrective drift) can dynamically exploit or counteract the interaction forces, depending on whether the latter are favorable or adversarial to the steering task."

Gemini Robotics ER 2 enables robots to reason, collaborate, and solve real-world tasks

"Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks."

Gemini Robotics ER 2 represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications

"It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications."

Google launched Gemini Robotics 2, one AI system designed to control everything from robot arms to full humanoids

"Google launched Gemini Robotics 2, one AI system designed to work across everything from robot arms to full humanoids."

Robots will not be the best surgeons on earth anytime soon

Training robots to navigate by watching first-person shooter games will result in robots treating humans as NPCs (non-player characters)

Using gameplay data to train robot navigation is naïve and will lead to horrible robot behaviors because games explicitly do not care about interactions with NPCs

Game-based robot training approaches ignore human factors in the environment

A fixed onboard camera alone is adequate for humanoid dodgeball evasion, with the deployed policy coming within a few points of a privileged state oracle

Usable barrier structure in control-barrier functions depends on perceptual observability, with Joint-CBF performing best with accurate ball states but degrading under fixed-camera observations