Podcast Episodes
Back to SearchCaP-X: Coding Agents for Physical eXecution
CaP-X is an open-source agentic robotics framework where LLMs/VLMs generate code to call perception and control APIs for execution across diverse sim…
5 months, 4 weeks ago
DoRA: Weight-Decomposed Low-Rank Adaptation
An upgrade over LoRA for parameter-efficient fine-tuning, enabling better performance in LLMs by decomposing weights into magnitude and direction com…
5 months, 4 weeks ago
AI Model Collapse: What Happens When AI Trains on Its Own Outputs
Seminal work showing how training on AI-generated data leads to 'model collapse' in neural networks, with urgent implications for future scaling.
5 months, 4 weeks ago
PhAIL: Benchmarking Vision-Language-Action Models on Real-World Bin-Picking
Real-world hardware evaluation of VLAs on blind bin-to-bin picking, achieving max 64 picks/hour across hundreds of runs, with full videos/data exposi…
6 months ago
Co-training Large Behavior Models: Data Modalities and Training Strategies for Robot Manipulation
Comprehensive evaluation of 89 policies showing optimal co-training practices mixing real robot data with sim/egocentric human videos to boost divers…
6 months ago
HyDRA: Hybrid Memory for Dynamic Video World Models
Novel memory system preserving dynamic object identity and motion continuity across occlusions in video world models, addressing frozen/vanishing iss…
6 months ago
# WildWorld: Dynamic World Modeling with Actions and Explicit State
Massive dataset enabling dynamic world models with explicit states and actions, supporting predictive modeling for cross-embodiment robotic control.
6 months ago
Omni-WorldBench: Evaluating Interactive 4D World Models
New benchmark assessing world models on interaction tasks, pushing predictive physics and video modeling towards robotics applications with action-co…
6 months ago
SIMART: From Static Meshes to Sim-Ready Articulated Models
Unified MLLM framework with Sparse 3D VQ-VAE (70% token reduction) for part-level mesh decomposition and kinematic chain prediction, enabling physics…
6 months ago
EgoSim: An Egocentric World Simulator for Embodied Interaction
Closed-loop egocentric simulator persistently updating 3D scene state to generate spatially consistent interaction videos for continuous simulation, …
6 months ago