(14/N) We thank @SimovationInc for providing high-quality JoyLo teleoperation data in simulation, reflecting their deep expertise in simulation and data quality. BEHAVIOR is built upon @nvidia
’s Omniverse. We thank @nvidia for their continuous support.
ROBOTICS
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BEHAVIOR AI Robotics System Built on Nvidia Omniverse Platform
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Baseline Models for Robot Learning Experiments
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(8/N) Provided Baselines
We include a set of baselines to kickstart your experiments:
• Classic behavioral cloning models: Diffusion Policy, WB-VIMA, ACT, BC-RNN • Pre-trained VLA models: OpenVLA, π_0 @physical_int -
Diverse State Transitions and Manipulation Skills in Robotics
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(7/N) 🧩Feature #4: Diverse State Transitions and Manipulation Skills
— Fei-Fei Li (@drfeifei) 2 septembre 2025
• Spatial: next_to, inside, on_top, under, touching
• Particles: covered, uncovered
• Thermal: hot, cooked, on_fire, frozen
• Others: open, closed, on, off, attached, sliced, diced pic.twitter.com/AS8KBroBxZ(7/N) Feature #4: Diverse State Transitions and Manipulation Skills
• Spatial: next_to, inside, on_top, under, touching
• Particles: covered, uncovered
• Thermal: hot, cooked, on_fire, frozen
• Others: open, closed, on, off, attached, sliced, diced -
Long-Horizon Mobile Manipulation in Realistic Home Environments
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(6/N) 🏠Feature #3: Long-Horizon Mobile Manipulation in Realistic Homes
— Fei-Fei Li (@drfeifei) 2 septembre 2025
• Task durations range from 1 to 25 minutes (average 6.6 minutes)
• Performed in household-scale scenes
• Requires memory, planning, and reasoning over a long period of time pic.twitter.com/LD2ObgdsxT(6/N) Feature #3: Long-Horizon Mobile Manipulation in Realistic Homes
• Task durations range from 1 to 25 minutes (average 6.6 minutes)
• Performed in household-scale scenes
• Requires memory, planning, and reasoning over a long period of time -
High-Quality Teleoperated Data for Robot Training Systems
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(5/N) 💯Feature #2: High-Quality Data
— Fei-Fei Li (@drfeifei) 2 septembre 2025
✔️Teleoperated using our JoyLo interface
✔️Near-optimal, clean demos
✔️Consistent manipulation behaviors
✔️Moderate, consistent teleoperation speed
🚫 No sudden accelerations/decelerations
🚫 No failed grasps
🚫 No unintended collisions pic.twitter.com/kLNUdwYAE2(5/N) Feature #2: High-Quality Data
Teleoperated using our JoyLo interface
Near-optimal, clean demos
Consistent manipulation behaviors
Moderate, consistent teleoperation speed No sudden accelerations/decelerations No failed grasps No unintended collisions -
Large-Scale Robot Demonstration Dataset with 50 Tasks
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(4/N) 🔍Feature #1: Large-Scale Demonstration Dataset
— Fei-Fei Li (@drfeifei) 2 septembre 2025
• 50 tasks, 10,000 demos, a total of ~1,200 hours of data
• Subtask and skill (30+) segmentation
• Spatial relation annotation
• Multi-granularity language annotation pic.twitter.com/XZDl3aptuU(4/N) Feature #1: Large-Scale Demonstration Dataset
• 50 tasks, 10,000 demos, a total of ~1,200 hours of data
• Subtask and skill (30+) segmentation
• Spatial relation annotation
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BEHAVIOR Benchmark Advances Embodied AI and Robotics Research
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(3/N) As a reminder, BEHAVIOR is an open-source benchmark built on top of NVIDIA’s Omniverse, designed to enable and evaluate embodied AI and robotics solutions. It includes 1,000 everyday household tasks grounded in human needs. Paper: https://
arxiv.org/abs/2403.09227
What’s new in -
Stanford Mobile Manipulation Challenge: 50 Tasks with 1200 Hours Demos
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(2/N) In this challenge, take on 50 long-horizon mobile manipulation tasks that require diverse and complex low-level skills, powered by 1,200 hours of high-quality demonstrations. Challenge website: https://
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BEHAVIOR Challenge 2025: Advanced Robot Task-Solving Competition
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(1/N) How close are we to enabling robots to solve the long-horizon, complex tasks that matter in everyday life?
— Fei-Fei Li (@drfeifei) 2 septembre 2025
🚨 We are thrilled to invite you to join the 1st BEHAVIOR Challenge @NeurIPS 2025, submission deadline: 11/15.
🏆 Prizes:
🥇 $1,000
🥈 $500
🥉 $300 pic.twitter.com/W63PyzBcMk(1/N) How close are we to enabling robots to solve the long-horizon, complex tasks that matter in everyday life? We are thrilled to invite you to join the 1st BEHAVIOR Challenge @NeurIPS 2025, submission deadline: 11/15. Prizes: $1,000 $500 $300
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The Arrival of Autonomous Warfare Robots
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pic.twitter.com/p0nKCG7nwK We all knew it was coming. Autonomous warfare robots.
— Chubby♨️ (@kimmonismus) 2 septembre 2025We all knew it was coming. Autonomous warfare robots.