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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 12, 2026 · Artificial Intelligence

LaST‑R1: Embodied Robot Model Hits 99.9% LIBERO Success via Physical Reasoning

LaST‑R1 presents a new embodied AI framework that inserts latent physical reasoning before action generation and jointly optimizes reasoning and control with LAPO, achieving 99.9% average success on the LIBERO benchmark after a single‑trajectory warm‑up and boosting real‑world task success from 52.5% to 93.75%, while showing superior generalization to unseen objects, backgrounds and lighting.

Embodied AILAPOLIBERO benchmark
0 likes · 11 min read
LaST‑R1: Embodied Robot Model Hits 99.9% LIBERO Success via Physical Reasoning
Machine Heart
Machine Heart
May 7, 2026 · Artificial Intelligence

Genesis AI Shows Embodied Model That Cooks, Experiments and Plays Piano

Genesis AI’s new GENE‑26.5 embodied foundation model demonstrates long‑horizon robot capabilities—from cooking a multi‑step meal and solving a Rubik’s cube to playing a high‑speed piano piece—using a full‑stack system that combines human‑like hands, a data‑glove, extensive simulation, and ultra‑low‑latency control.

Embodied AIdata glovefoundation model
0 likes · 11 min read
Genesis AI Shows Embodied Model That Cooks, Experiments and Plays Piano
Machine Heart
Machine Heart
Apr 11, 2026 · Artificial Intelligence

How 100,000 Hours of Human Data Propelled Psi‑R2 to Lead MolmoSpaces

Lingchu AI demonstrates that scaling human‑operation data to nearly 100,000 hours, combined with a two‑model system and reinforcement learning, can replace costly robot‑teleoperation data and achieve top performance on the MolmoSpaces benchmark.

Embodied AIPsi-R2Psi-W0
0 likes · 12 min read
How 100,000 Hours of Human Data Propelled Psi‑R2 to Lead MolmoSpaces
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 30, 2025 · Artificial Intelligence

Understanding Dexterous Hand Grasping in Embodied Intelligence

Dexterous hand grasping, a core challenge in embodied intelligence due to high degrees of freedom, is categorized into three approaches—ego-centric, object-centric, and ego-object interaction—each with distinct trade-offs, and the article cites representative works such as UniDexGrasp, GraspTTA, and DRO_Grasp.

Embodied IntelligenceUniDexGraspdexterous grasping
0 likes · 3 min read
Understanding Dexterous Hand Grasping in Embodied Intelligence
AntTech
AntTech
Oct 29, 2024 · Artificial Intelligence

Embodied Intelligence and General‑Purpose Humanoid Robots: Insights from Wang He’s Ant T‑Space Talk

In a detailed presentation, Peking University assistant professor Wang He explained the current state and future direction of embodied intelligence, emphasizing synthetic data, three core intelligences, and the commercial‑grade capabilities of his startup’s general‑purpose humanoid robots across manufacturing, retail, and home applications.

Embodied AIhumanoid robotindustrial automation
0 likes · 17 min read
Embodied Intelligence and General‑Purpose Humanoid Robots: Insights from Wang He’s Ant T‑Space Talk