Embodied AI 101 tracks the latest research at the intersection of AI and physical intelligence. Robotics, manipulation, world models, and the path from digital intelligence to embodied agents — each episode breaks down recent papers and advances in the field. We examine the methodology, real-world implications, and path to deployment. Covering robot learning, perception, control, and the fundamental challenge of grounding intelligence in the physical world. New episodes daily.
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Nov 13, 2026 · 12:58
Can a model pretrained to generate video become a useful real-robot policy? This episode explains Praxis-1's architecture, measured manipulation performance, and significance for…
Nov 13, 2026 · 13:25
What does it take for a dexterous VLA to work safely beside people? This episode clarifies how Gemini Robotics 2.5 connects task reasoning, physical control, and robot…
Nov 12, 2026 · 12:21
Can a realistic generated robot video still be bad training data? This episode explains how RoboCurate turns predicted robot actions back into visible motion, then uses that…
Nov 12, 2026 · 12:36
This episode of Embodied AI 101 examines NTT's physics-aware world model for manipulation, separating the shelf-loading result from the proposed airport baggage application and…
Nov 11, 2026 · 13:56
Why does a table-tennis robot that succeeds in simulation miss the ball on hardware? This episode explains how PEAOM models the measurement process that turns a physical…
Nov 11, 2026 · 12:52
Should a vision-language-action robot receive tactile measurements as continuous features or as discrete labels? This episode explains the architectural choices behind that…
Nov 10, 2026 · 13:18
Can an encoder-free vision-language-action model make robot foundation models more accessible? This episode explains NEO-VLA's architecture, its strongest experimental findings,…
Nov 10, 2026 · 13:31
Can a robot policy learn better three-dimensional control without running a geometric model every time it acts? This episode of *Embodied AI 101* examines how SLA uses spatial…
Nov 9, 2026 · 13:14
Can a robot learn better 3D manipulation without running an additional perception model at deployment? This episode examines how SLA extends π0.5 through spatially supervised…
Nov 9, 2026 · 13:11
Can a robot world model use imagined collisions to choose safer actions? This episode examines Noetic's reported safety-aware rollout loop and explains how it relates to latent…
Nov 8, 2026 · 13:02
Can a vision-language-action model make clothing cleanup a useful autonomous household chore? This episode explains how Pi0.5 fits into a wheeled robot system combining SLAM,…
Nov 8, 2026 · 12:49
What makes a humanoid foundation model useful when its first attempt goes wrong? This episode examines how Delta-0 connects whole-body control, human-motion pretraining, and…
Nov 7, 2026 · 13:46
Can a geometry-aware correction layer improve robot manipulation without retraining the VLA policy? This episode explains PARMA's proposed execution layer and the evidence needed…
Nov 7, 2026 · 13:30
Can a robot keep learning manipulation tasks while making better use of skills it already has? This episode explains LiMoDE through the relationship between computational…
Nov 6, 2026 · 14:08
Can handheld human demonstrations teach precise, long-horizon robot manipulation without collecting new robot trajectories? This episode explains AIRoA-0's learning pipeline,…
Nov 6, 2026 · 13:25
Can parallel vision-language decoding make robot plans faster and more useful at the same time? This episode explains what NVIDIA's VFlash changes inside the planning pipeline…
Nov 5, 2026 · 13:40
Can a diffusion policy learn both how to move and when to advance to the next manipulation stage? This episode examines SADP and the case for preserving subgoal structure in…
Nov 5, 2026 · 12:59
Can one navigation VLA serve robots with radically different movement capabilities? This episode explains how VAMOS separates image-space route generation from robot-specific…
Nov 4, 2026 · 13:44
Can a vision-language model make useful spatial judgments without generating an answer sentence? This episode of *Embodied AI 101* explains how MJev-Spatial turns that question…
Nov 4, 2026 · 13:16
Can a vision-language model improve spatial reasoning by changing the geometry of its hidden representations? This episode explains how Haoming Wang and Wei Gao turn object-level…
Nov 3, 2026 · 13:25
Can action-free human video teach a robot more than visual recognition? This episode explains how NVIDIA and KAIST's ThinkWorld uses Chain-of-Dynamics reasoning and imagined…
Nov 1, 2026 · 12:58
Can tiny camera images make sim-to-real reinforcement learning genuinely faster? This episode explains how Squint combines compact visual inputs with off-policy learning to…
Nov 1, 2026 · 13:21
Can a feed-forward 3D reconstruction model discard most of its Gaussians and still preserve scene detail? This episode explains how BudSplat makes primitive allocation part of…
Oct 31, 2026 · 12:51
Can a robot become more reliable by treating its vision-language-action policy as a tool rather than its entire controller? This episode explains how VoLo combines language-model…
Oct 31, 2026 · 13:16
Can a mobile manipulation policy become dependable by learning from the moments when a human takes over? This episode explains how I3L combines whole-body correction with…
Oct 30, 2026 · 11:52
Vitre Experiment #6 presents a real-time portal into an AI-reimagined hallway, and this episode unpacks the distinct roles of World Labs' Atlas, the Marble 2 beta workflow, and…
Oct 29, 2026 · 13:35
Can a wheel-legged robot choose a safer outdoor route by rehearsing its actions before moving? This episode explains how DEEP Robotics' DR-WM-1.0 connects terrain estimation,…
Oct 29, 2026 · 13:12
Can a robot turn pictures of its workspace into a world it can actually plan inside? This episode explains NeoWorld-3's approach to executable 3D programs and what its…
Oct 28, 2026 · 12:13
Google DeepMind's Genie 4 announcement brings native audio and Gemini-guided scene generation into the conversation about world models for robotics, and this episode separates…
Oct 28, 2026 · 12:35
Can a differentiable world model make large-scale humanoid motion tracking a single-GPU experiment? This episode explains SuperMimic's training architecture, its comparison with…
Oct 27, 2026 · 12:45
Can imagined video help a robot plan and execute a multi-step task? This episode explains how RynnUnify connects scene understanding, video prediction, and robot control, and how…
Oct 27, 2026 · 13:36
Can natural language let one robot world model learn from incompatible control logs and ordinary video? This episode explains how LaLa-World unifies transition conditioning while…
Oct 26, 2026 · 13:01
Why do reinforcement-learned swarms coordinate in simulation and struggle after deployment? This episode explains SwarmACB's proposal to learn behavior selection instead of…
Oct 25, 2026 · 12:46
Can the machinery that generates robot actions also teach a better critic? This episode of *Embodied AI 101* explains Generative Value Classifier, or GVC, and separates its…
Oct 24, 2026 · 12:43
This episode of Embodied AI 101 examines World Labs Atlas through the practical questions behind single-image 3D generation: how a photograph becomes posed views and depth, what…
Oct 24, 2026 · 13:18
Can ordinary RGB human videos teach a robot to coordinate two dexterous hands? This episode explains how SpatialDex reconstructs spatial context from video and uses it to train…
Oct 23, 2026 · 12:40
Can a small vision-language model take over robot control from a frontier agent? This episode explains what Show-Harness actually compresses, how its semantic action interface…
Oct 22, 2026 · 13:07
Can a robot learn useful manipulation without real-world robot demonstrations? This episode of Embodied AI 101 explains what MolmoBot's simulation-first training achieves, how…
Oct 22, 2026 · 13:14
Can a robot learn manipulation more reliably when training teaches it what should change in the world? This episode explains how VLA-Delta turns physical state transitions into…
Oct 21, 2026 · 12:42
In this episode of Embodied AI 101, we investigate Axis Robotics' browser-based teleoperation platform and ask what it would take for distributed demonstration collection to…
Oct 19, 2026 · 12:06
Can a robot improve at manipulation by debugging code instead of updating neural-network weights? This episode explains how HexaShell turns robot experience into reusable tools,…
Oct 19, 2026 · 12:03
Niantic Spatial's Places Library is the starting point for this episode of Embodied AI 101, which examines how Gaussian splatting, aligned collision meshes, and existing…
Oct 19, 2026 · 12:23
This episode of Embodied AI 101 examines Google's Gemini 4 Argon robotics announcement, separating the demonstrated workflows from the broader promise by tracing how a calibrated…
Oct 18, 2026 · 12:53
Can a robot foundation model learn a reusable connection between body motion and the scenes that motion creates? This episode examines GreenWAM's architecture, controlled…
Oct 18, 2026 · 14:02
Can code-generating agents make 3D worlds easier to build, edit, and use in robotics? This episode explains 3DCodeVerse's training corpus, agent harness, and open-model…
Oct 17, 2026 · 12:54
Can optical flow and gravity improve camera-based 3D reconstruction without becoming permanent parts of the inference pipeline? This episode explains the training design,…
Oct 17, 2026 · 13:01
Can a robot improve by remembering how it fixed its own code? This episode explains how NVIDIA's ASPIRE turns robot execution feedback into reusable manipulation skills, and what…
Oct 16, 2026 · 13:29
Can a UAV vision-language model discard most of its visual tokens while preserving the evidence needed for counting and planning? This episode explains UAV-ESPrune's selection…
Oct 15, 2026 · 30:00
Can Gemini Robotics 2 move beyond impressive manipulation demonstrations to become a dependable general-purpose robot? This episode separates Google DeepMind's demonstrated…
Oct 15, 2026 · 13:55
This episode of Embodied AI 101 examines RoboJEPA, UNITAS, DreamTrue, VioLA, and Long-WAM as five different approaches to making learned representations useful for robot control,…
Oct 15, 2026 · 29:01
Can a VLA discard most visual tokens without changing what the robot does? This episode examines VLA-ACL's action-supervised pruning method and separates its demonstrated…
Oct 15, 2026 · 28:43
Can predictive world models improve VLA manipulation without interfering with action learning? This episode examines how Juno connects control-aligned JEPA representations,…
Oct 15, 2026 · 27:31
Can changing an instruction make a frozen vision-language-action model more reliable without retraining? This episode examines what *Rephrase Before You Act* demonstrates, how…
Oct 14, 2026 · 28:40
Can a multimodal language model replace hand-designed rewards for robot manipulation? This episode examines what CriticGPT actually learns, how its video preferences become…
Oct 14, 2026 · 28:53
Can an agentic vision-language model search a 3D city more effectively than a system that ranks candidate objects? This episode examines what Urbex improves, how its visual tools…
Oct 12, 2026 · 28:51
Can better video prediction make a robot manipulation policy more general? This episode examines what VPP2's experiments establish, how its training pipeline works, and where the…
Oct 12, 2026 · 30:25
Can forecasting scene and hand motion in 3D make dexterous robot policies more reliable? This episode explains what PointWAM's geometric representation achieves, which…
Oct 11, 2026 · 27:43
Can a robot learn more from the same collection budget by revisiting the situations it gets wrong? This episode explains what Mulligan demonstrates about focused robot data…
Oct 11, 2026 · 28:03
Can a robot learn manipulation from random actions using only rewards generated from video? This episode explains what SOLE-R1 demonstrates, how its reward model is trained, and…
Oct 10, 2026 · 30:27
Can a leading physics benchmark score translate into robots that need less task-specific training data? This episode separates Odyssey-3's documented video-generation results…
Oct 10, 2026 · 28:49
Can longer video histories make robot manipulation more reliable without making control too slow? This episode examines Long-WAM to clarify when temporal context helps, what…
Oct 9, 2026 · 29:13
Does WR1.0's clothes-folding demonstration establish a general-purpose whole-body humanoid foundation model? This episode separates the announced capability from the research…
Oct 9, 2026 · 28:08
Can a goal-directed video world model genuinely help a robot plan, or does it mainly produce better procedural videos? This episode clarifies what WorldGuide demonstrates, how…
Oct 8, 2026 · 28:36
Can constraint solving turn a recorded traffic scene into useful simulation data without inheriting an LLM's geometric mistakes? This episode clarifies what R2SGen's guarantees…
Oct 8, 2026 · 29:08
Can reinforcement learning trained in simulation let a humanoid control a real scooter? This episode examines what the reported transfer demonstrates, how the controller is…
Oct 7, 2026 · 27:46
Can coding agents improve real-world robot manipulation without a researcher rewriting every experiment? This episode explains what ENPIRE automates, what remains engineered, and…
Oct 7, 2026 · 28:55
Can a grid-action interface make language models better robotic manipulation planners, rather than just better selectors of predefined skills? This episode examines GAS-Robo's…
Oct 6, 2026 · 29:43
Bridging VLM and KMP: Enabling Fine-Grained Robotic Manipulation via Semantic Keypoints Representation
Oct 6, 2026 · 31:10
PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation
Oct 5, 2026 · 28:35
MotorMind leverages a frozen VLM with mid-level prospective actions and asynchronous feedback to control robots zero-shot on manipulation tasks, requiring no task-specific…
Oct 5, 2026 · 28:53
MAPF-World: Action World Model for Multi-Agent Path Finding
Oct 4, 2026 · 29:43
An end-to-end policy trained on ~500 teleoperation demonstrations combined with a sim-based whole-body controller achieves 80–90% success on unseen, chaotic real-world…
Oct 4, 2026 · 28:53
VLS steers frozen diffusion and flow-matching robot policies using vision-language models to handle out-of-distribution changes such as novel obstacles and lighting conditions,…
Oct 3, 2026 · 30:08
CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models In this episode of Embodied AI 101, we explore "CAST: Making Language Matter to Robot…
Oct 3, 2026 · 28:39
Robot Independent Intelligence: When Language Vanishes in Vision-Language-Action Models In this episode of Embodied AI 101, we explore "When the Command Disappears: What Counts…
Oct 2, 2026 · 30:31
Introduces a hierarchical VLA architecture that better bridges high-level language planning and low-level robot execution, reducing the gap between what a model plans and what it…
Oct 2, 2026 · 10:51
Atlas is upgraded with 13 DoF dexterous hands featuring tactile sensing, direct drive actuation, and sim-to-real RL training, designed for real tool use and in-hand manipulation…
Oct 1, 2026 · 28:27
Astra demonstrates zero-shot open-ended pick-and-place on a physical humanoid robot, bridging simulation tooling directly to real-world execution without task-specific…
Sep 30, 2026 · 29:24
A new paper introduces self-evolving coding agents for robotics that represent task state and execution as code, enabling robots to verify, recover from failures, and evolve…
Sep 30, 2026 · 26:57
SpatialClaw is an NVIDIA spatial reasoning agent that uses Python-based code generation to perform 3D spatial reasoning, achieving +13.6 average improvement across 20 benchmarks…
Sep 29, 2026 · 29:07
Async RL fine-tuning via EXPO-FT enables π0.5 to handle highly dynamic manipulation tasks such as ball balancing and striking in real time. The approach demonstrates that…
Sep 29, 2026 · 28:18
Aether's unified world model jointly learns environment dynamics and long-term physical state evolution under physical constraints, enabling robots to plan feasible trajectories…
Sep 28, 2026 · 27:22
Proposes a framework that restores the Markov property for RL fine-tuning of VLAs despite asynchronous inference delays, enabling effective RL training on large…
Sep 28, 2026 · 29:15
A 6B-parameter world-action model that jointly predicts 3D pointmaps and DINO features alongside RGB frames, improving demonstration efficiency, generalization, and long-horizon…
Sep 27, 2026 · 28:36
SkipVLA proposes a hybrid architecture combining a classical planner with a Vision-Language-Action model for manipulation tasks, achieving 2.5x faster execution and 59.6% lower…
Sep 27, 2026 · 28:34
ForeDrive introduces a planning-relevant latent world model that guides autonomous driving through foresight, enabling the agent to anticipate future states before acting. The…
Sep 26, 2026 · 29:59
A new algorithm reconstructs and retargets monocular RGB (or synthetically generated) videos to high-DoF robot hands, enabling scalable dexterous manipulation data collection…
Sep 26, 2026 · 30:30
GAM is a robot foundation model that conditions action chunk prediction on 3D grounded inputs — including language, 3D point clouds, and bounding boxes — alongside robot history,…
Sep 25, 2026 · 28:44
Autonomous navigation in complex, unstructured environments poses a significant challenge, with traditional planners lacking adaptability and end-to-end learning methods hindered…
Sep 24, 2026 · 29:21
This work distills frozen world-model representations into compact VLAs via a single feature-alignment loss at training time, with the teacher cached once and absent at…
Sep 24, 2026 · 28:36
Joga demonstrates agile humanoid soccer on a Unitree G1 using an actuated neck and residual models to close the sim-to-real gap for both perception and actuation, enabling…
Sep 23, 2026 · 29:10
AthenaZero is a bimanual manipulator designed to minimize inertia without compromising control authority. By using quasidirect drive actuation and transmission remotization…
Sep 23, 2026 · 29:42
Vision–Language–Action (VLA) models have shown strong potential for end-to-end autonomous driving, yet their post-training commonly relies on expensive simulator interaction or…
Sep 22, 2026 · 28:09
We present a framework for assistive robot manipulation that addresses two fundamental challenges: efficient adaptation of large-scale models for scene affordance understanding…
Sep 22, 2026 · 28:48
Humans and animals use sound as a crucial cue for interacting with the physical world, as acoustic events can reveal contact, completion, hidden contents, or process state.…
Sep 20, 2026 · 29:53
A new feed-forward Gaussian Splatting method that selectively processes voxels for efficient 3D scene reconstruction, targeting real-time perception stacks for embodied agents.…
Sep 20, 2026 · 13:15
Adapts a training-free Spatial Search prototype to Meta Quest's spatial data pipeline, enabling natural-language search over Gaussian Splatting and mesh scenes in real time…
Sep 19, 2026 · 30:48
Introduces a 35B cost-efficient model positioned at the Pareto frontier for collaborative long-horizon agent tasks, achieving performance competitive with significantly larger…
Sep 18, 2026 · 12:37
Figure's Helix 2.5 humanoid robot enters 30 unseen Bay Area rental homes with no additional training and performs useful whole-body tasks for 4+ hours, demonstrating strong…
Sep 16, 2026 · 12:21
Physical Intelligence's mobile π robot runs fully autonomous for hours in a real production environment stacking boxes at Dandelion Chocolate, exposing generalization and…
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