Stanford University

Stanford University is a research university with robotics work across AI, autonomy, manipulation, mobility, healthcare and human-robot interaction. Its robotics labs and institutes develop algorithms, hardware and datasets used in robot learning, surgical robotics, autonomous vehicles and embodied intelligence.

Facts

Segment: Development Platform
Country: United States
Website: https://www.robotis.us/toddlerbot-bundle-kit/

Usage

Exact-product configurations are shown without inferring supply, purchase, customer status, standard fit, deployment or partnership.

Stanford ToddlerBot with DYNAMIXEL X Series - 2025-10-06 - Research Experiment - Embedded - Stanford ToddlerBot uses a documented mix of ROBOTIS DYNAMIXEL XC330, XC430, XL430 and XM430 actuators. - source: robotis.us

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Timeline

2026-06-24 - Research Publication - Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly? - Precise assembly is contact-rich and sparse-reward, making demonstrations costly and reinforcement learning from scratch difficult. Play2Perfect first trains a dexterous hand on diverse free-space object play, then fine-tunes the reusable grasping… - source: arxiv.org
2026-06-12 - Research Publication - Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback - Introduces a low-cost upper-limb exoskeleton that provides real-time haptic torque feedback while recording whole-arm configuration and joint torque signals. Retargets to multiple robot arms including OpenArm, Franka, and X-ARM for bimanual, mobile, and… - source: arxiv.org
2026-06-11 - Research Publication - Improving Robotic Generalist Policies via Flow Reversal Steering - Uses flow reversal to refine coarse reference actions from humans or VLMs into precise in-distribution robot actions. Supports zero-shot control, fast distillation into smaller policies, and bootstrapped RL improvement. Project page reports results on LIBERO… - source: arxiv.org

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Research

Robots Need More than VLA and World Models - 2026-06-04 - Research Publication - Argues that robot policy scaling is bottlenecked by converting unstructured data into grounded supervision. Frames four missing interfaces: behavior autolabelling, embodiment retargeting, physics-grounded 3D world… - source: arxiv.org
EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models - 2026-05-25 - Research Publication - Introduces RL finetuning for pretrained VLA policies using online interaction, Q-guided sampling, residual edit policies, and human corrections. Reports 30/30 success across evaluated real-robot manipulation tasks with… - source: pd-perry.github.io
SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation - 2026-02-18 - Research Publication - The evaluation covered 120 physical rollouts across 24 tasks, 12 objects and six tool categories. The object-centric policy exceeded retargeting and fixed-grasp baselines by 37% while requiring no object- or task-specific… - source: arxiv.org

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Relations

Mirsee Robotics - Mri Safe Surgical Robotics Research - Mirsee Robotics has a public partnership relationship with Stanford University focused on mri-safe surgical robotics research.
Zeon Systems - Laboratory Pilot Partner - Zeon Systems reports pilot work with Stanford laboratories on scientific workflows using its off-the-shelf robot system.

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