Claims Browser

CLAP is capable of being trained on diverse, internet-scale videos across human and robotic agents for cross-embodiment action-conditioned video generation

"we introduce CLAP, a framework for cross-embodiment action-conditioned video generation capable of being trained on diverse, internet-scale videos across human and robotic agents."

CLAP approaches or surpasses state-of-the-art single-embodiment video models in challenging environments like DROID

"Crucially, CLAP approaches or surpasses state-of-the-art single-embodiment video models in challenging environments like DROID."

CLAP delivers the most comprehensive suite of action-conditioned video world models to date spanning diverse action-conditioning spaces and robot morphologies

"CLAP delivers the most comprehensive suite of action-conditioned video world models to date - spanning diverse action-conditioning spaces (end-effector, language, and latent) and robot morphologies (including cross-embodiment, DROID, Bridge, bimanual YAM robots, and G1 humanoids)."

State-aware Task Estimator and Planner (STEP) outperforms state-of-the-art by 32.8% in action executability and 14.8% in final-state error for robot assembly tasks

"Our approach outperforms the state-of-the-art by 32.8% in action executability and 14.8% in final-state error"

Prompting Multi-modal LLMs to explicitly estimate system state and predict state transitions ensures task-convergent planning in human-robot collaboration

"By forecasting future states alongside actions, STEP ensures task-convergent planning while also providing additional assistance parameters necessary for executing the predicted actions"

World Action Models augment robot policies by predicting how task-relevant scene states may evolve under interaction

"World Action Models (WAMs) augment robot policies by predicting how task-relevant scene states may evolve under interaction."

Recent World Action Models increasingly perform prediction in latent representation spaces, avoiding full appearance-level generation while preserving control-relevant information

"Recent WAMs increasingly perform such prediction in latent representation spaces, avoiding full appearance-level generation while preserving control-relevant information."

LEON improves closed-loop performance and robustness in World Action Models across two formulations while remaining effective under full transition replacement

"Across two WAM formulations that integrate latent prediction into the policy differently, LEON improves closed-loop performance and robustness while remaining effective under full transition replacement."

PDPO (Planning Diffusion Policy Optimization) achieves an improved success rate over strong baselines in crowd navigation tasks

"Experiments show that PDPO obtains an improved success rate over strong baselines"

Action chunks are especially important for crowd navigation in bounded environments where boundary violations are treated as collisions

"ablations demonstrate that action chunks are especially important for the modified bounded benchmark"

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"

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."

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."