#Embodied AI (359)

Genesis AI's open simulation platform for physical AI: one Pythonic API over a multi-physics engine (rigid, FEM, MPM, PBD, SPH, Stable Fluid, IPC), the Nyx path tracer, and Quadrants, a cross-platform Python-to-GPU compiler. It is built to be the evaluation engine for robot foundation models rather than a data factory: 30,000 parallel environments at 43M FPS, and under a zero-shot real-to-sim protocol, sim-vs-real evaluation agreement of Pearson 0.8996 with mean maximum rank violation 0.0166. Apache 2.0, 29.9k stars.

SimulationPhysics Engine

Python30k2.9k224

milind-soni/OpenMausBotApache-2.0

OpenMausBot: A Local-First Control Plane for Multi-Agent Computer Use

A local-first control plane for multi-agent computer use, with durable delegation, provider-specific approvals, isolated browsers, narrow remote access, and headless operation.

Multi-Agent SystemsComputer Use

TypeScript9.6k1.3k27

mekion/the-bimo-projectApache-2.0

Bimo: a 45 cm Open-Source Hip-Head Biped Trained in Isaac Lab and Distilled onto an RP2040

Bimo is a 45 cm, roughly 1.6 kg hip-head biped kit: eight STS-3215 bus servos, a BNO08x 9-DoF IMU, four VL53L0X rangefinders, two 180-degree cameras, and a custom RP2040 board closing a 20 Hz control loop. The repository publishes the Python control API (1023 lines), three MCU firmware builds (1349 lines), a ROS2 wrapper (1431 lines) and an Isaac Lab training environment (874 lines: six reward terms, dense domain randomization, and a system-identified STS3215Actuator with 3.113 Hz bandwidth, directional gear backlash and a 5 ms bus delay), plus a 26MB Bimo.usd model. The CPG gait's 104 Fourier coefficients and per-joint amplitude gains are hardcoded in both Python and C, and a [256,128,64] PPO teacher distills into a [64,32] student that goes through onnx2c into the firmware, so the robot walks untethered on the MCU. All code is Apache-2.0, but the CAD and electronics the README promises are still marked coming soon: no STL, STEP, schematic, gerbers or BOM exist in the working tree or in git history, and neither release ships pretrained weights (zero assets) or a DIY assembly manual. Currently v1.1.0 with 198 stars, in pre-order status.

Bipedal robotsHumanoid

Python19887

2:55

Compass 1: One Navigation Model Across Four Robots

@Archon_Robotics · 27 views · 2026-11-12

NavigationFoundation Models

On Agentic Manipulation Policies

Generalist AI models can control manipulators through persistent Python code without demonstrations or task-specific training. AMP1 reaches 85.6% zero-shot on RoboLab-120 and 104 of 108 real-world trials; persistent memory raises RoboDojo success from 26.4% to 84.1%.

Chen Chen, Omid Bagherieh, Naveen Nikamanth Appiah Balaji · 49 views · Nov 6, 2026

Robot ManipulationAgentic AI

Nov 6, 2026

0:30

Hugging Face SafeAgents: A Deterministic Gate Before Tool Calls Reach Runtime

A technical guide to SafeAgents' declared-tool policy, ATIF scanning, and optional judge, and the runtime, sandbox, and robot safety layers it does not replace.

BLOG

Agent SecurityTool Call Filtering

1:37

A Tactile Model Pretrained on 5,000 Hours of Real Contact

@robbyant_brain · 80 views · 2026-11-09

Tactile SensingFoundation Models

0:06

A CoRL Keynote Teaser From Jim Fan

@DrJimFan · 66 views · 2026-11-07

Robot LearningEmbodied AI

LG-VLN: A Zero-Shot Vision-and-Language Navigation Framework with LangGraph State Orchestration

LG-VLN is a zero-shot VLN-CE framework that uses only monocular RGB. VGGT estimates depth, camera poses, and point clouds online, while CleanDIFT supplies shared dense features for correspondence filtering and semantic value construction. BLIP-2 image-text relevance is fused with target-reference similarity, and Grounding DINO with SAM 2 localizes objects. LangGraph orchestrates instruction tracking, mapping, planning, action execution, and staged recovery over persistent state. On a fixed 550-episode R2R-CE val-unseen subset, it reaches 21.3% SR, 12.1% SPL, and 7.85 m NE. The public repository is only a scaffold at the inspected commit and does not yet reproduce the paper.

Jianhe Zhao, Yanhua Qiu, Zhiyu Zhang · 201 views · Sep 14, 2026

Vision-and-Language NavigationVLN-CE

Sep 14, 2026

MetaTron: A Promptable Whole-Body Execution Layer for Humanoids

NVIDIA's MetaTron freezes a promptable whole-body policy and lets code or coding agents compose skills, from whole-body reaching and push recovery to sitting and simulated sports.

BLOG

Embodied AIHumanoid

1:00

First-Person Object Assembly With 6DoF Spatial Capture

@ZenO4AI · 110 views · 2026-11-06

Embodied AIPhysical AI

The State of Robotics Data In 2027

A supply-side snapshot from 180 conversations and 47 vetted producers, covering robotics-data pricing, the stereo shortage, tactile bottlenecks, and the hours needed to earn $1 million.

BLOG

Robotics DataEmbodied AI

AgentVLN: How a 3B VLM Navigates by Calling Perception and Planning Skills

AgentVLN turns a 3B VLM into a navigation brain that calls spatial skills, grounds 3D routes in the camera image, and asks for missing depth before localizing a target.

BLOG

Vision-and-Language NavigationVLM

WayTrace: A Map-to-Language-to-Trace Hierarchy for Embodied Urban Navigation

Web services provide walking directions for nearly every city, but following them reliably over long routes remains challenging for autonomous robots. Point-goal navigation policies rely heavily on accurate GNSS, while most vision-language navigation models struggle to execute even short instructions outdoors. We present WayTrace, a hierarchical system that connects web-map directions to robot motion through language. An off-the-shelf orchestrator vision-language model reads the turn-by-turn directions, a satellite map and recent camera images, and issues one atomic language command at a time, such as "cross the road to the left". An onboard trace predictor, trained on over one million automatically labelled samples from street-level images, draws the path for this command in the image, and a reinforcement learning policy tracks it. In long-range simulated missions, WayTrace remains robust to GNSS noise and rarely leaves crosswalks or sidewalks, while point-goal baselines degrade sharply with about ten times more violations. Deployed on a wheeled-legged robot, WayTrace completes real-world missions of up to 1.37 km at about 1.1 m/s through a busy city centre, rural trails and a university campus, handling crosswalks, staircases and construction sites. Project page: https://way-trace.github.io

Manthan Patel, Jonas Frey, Pascal Roth · 161 views · Nov 3, 2026

Embodied NavigationVision-language navigation

Nov 3, 2026

1:50

PrimeBot marks 10,000 AI robots off the production line

@ErenChenAI · 97 views · 2026-11-08

ManufacturingAgiBot

0:35

Lyra 2.0: Explorable Worlds from One Image

@NVIDIAAI · 134 views · 2026-11-06

Lyra 2.0NVIDIA

1:36

Human2Any Transfers Human Video Knowledge to Robots

@ShuoCheng94 · 104 views · 2026-11-07

Human VideoRobot Learning

OmniBrain-0: A Unified Agentic Model for Embodied Intelligence

General-purpose embodied intelligence requires robots to coordinate diverse skills over long horizons, track task progress, and recover from failures. Specialist policies alone do not ensure task-level reliability, while powerful multimodal agents rely on costly reasoning and external experience that compact models struggle to reproduce. We introduce OmniBrain-0, a lightweight unified embodied agent that coordinates manipulation and navigation through a shared high-level decision model, integrating task understanding, planning, progress tracking, and feedback-driven recovery. Our progressive training framework combines embodied pretraining, domain-specialized agent distillation, and multi-teacher on-policy distillation (MOPD). It distills powerful teachers' interaction experience into manipulation and navigation experts, then consolidates their decision capabilities into OmniBrain-0. Unification therefore occurs within the learned decision model rather than only at the tool interface. We further introduce Rubric-Guided Recursive Self-Improvement (RSI), a data flywheel in which a Meta-Agent turns execution evidence into refined rubrics, step-level reminders, and verified trajectories for domain-expert updates before their reconsolidation into OmniBrain-0 through MOPD. We evaluate OmniBrain-0 on LIBERO-Pro, LIBERO-Plus, RoboCasa365, RoboTwin 2.0, and R2R-CE Val-Unseen, as well as multiple real-world manipulation tasks. OmniBrain-0 combines strong cross-domain task performance with substantially lower inference and execution overhead than its closed-source teacher, demonstrating efficient transfer and consolidation of embodied capabilities into a compact unified agent.

Xiaomi Embodied Intelligence Team, Yuechen Luo, Chong He · 282 views · Oct 26, 2026

Embodied AIVLA

Oct 26, 2026

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#Embodied AI (359)

Genesis World: The Unified Multi-Physics Simulation Platform for Physical AI

OpenMausBot: A Local-First Control Plane for Multi-Agent Computer Use

Bimo: a 45 cm Open-Source Hip-Head Biped Trained in Isaac Lab and Distilled onto an RP2040

Compass 1: One Navigation Model Across Four Robots

On Agentic Manipulation Policies

AGIBOT G2 Runs a 24-Hour Convenience Store Shift

AGIBOT G2 Max: Heavy-Duty Dual-Arm Industrial Robot

Hub Open-Sources a More Diverse Egocentric Dataset

Unified Inertial Encoder Reads Unseen Motion

PAN 2 Predicts the Physical World Before Acting

Natura-1 Trains Two 20-DoF Hands From Human Video

Hugging Face SafeAgents: A Deterministic Gate Before Tool Calls Reach Runtime

A Tactile Model Pretrained on 5,000 Hours of Real Contact

A CoRL Keynote Teaser From Jim Fan

LG-VLN: A Zero-Shot Vision-and-Language Navigation Framework with LangGraph State Orchestration

MetaTron: A Promptable Whole-Body Execution Layer for Humanoids

First-Person Object Assembly With 6DoF Spatial Capture

The State of Robotics Data In 2027

AgentVLN: How a 3B VLM Navigates by Calling Perception and Planning Skills

WayTrace: A Map-to-Language-to-Trace Hierarchy for Embodied Urban Navigation

PrimeBot marks 10,000 AI robots off the production line

Lyra 2.0: Explorable Worlds from One Image

Human2Any Transfers Human Video Knowledge to Robots

OmniBrain-0: A Unified Agentic Model for Embodied Intelligence