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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
RoboScope
A semantic map of paper notes
Posts
[Paper Notes] Tactile Genesis: Exploring Tactile Sensors at Scale for Learning Dexterous Tasks
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[Paper Notes] RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation
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[Paper Notes] WARP: Whole-Body Retargeting for Learning from Offline Human Demonstrations
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[Paper Notes] HRDexDB: A Paired Human-Robot Dataset for Cross-Embodiment Dexterous Grasping
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[Paper Notes] GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
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[Paper Notes] Towards Bridging the Gap: Systematic Sim-to-Real Transfer for Diverse Legged Robots
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[Paper Notes] TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
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Why On-Policy Data Matters in Post-Training
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[Paper Notes] Human Universal Grasping
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[Paper Notes] DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo
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[Paper Notes] DexterCap: Affordable and Automated Capture of Complex Hand-Object Interactions
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Before the Robot GPT-3.5 Moment: Latent Actions, World Models, and Embodied Memory
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A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
[Paper Notes] KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning
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A Practical Map of LLM Training Ecosystems
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A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
[Paper Notes] LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
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Force Control and the Missing Layer in Embodied Intelligence
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A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
[Paper Notes] EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
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Bootstrapping and the Game of Entrepreneurship
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Bootstrapping is the same pattern across compilers, AI, and startups: borrow external structure to cold-start, then recursively replace dependencies until the system sustains itself.
Michael Polanyi: Tacit Knowledge, Personal Knowing, and What AI Still Cannot Tell
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Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Distilling Persons into Agents: A Survey of Recent ‘Person-as-Skill’ Projects
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A survey of projects that compress human personas into AI agent skills — from departed colleagues to public figures — and what this trend reveals about AI, memory, and identity.
[Project Notes] Robotic World Model Lite
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[Project Notes] PAL Robotics in mjlab
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[Paper Notes] CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
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[Paper Notes] SaTA: Spatially-anchored Tactile Awareness for Robust Dexterous Manipulation
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The Singularity is Near
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Autonomous agents are now cheap and networked enough to spread faster than any institution can contain — the question is what order emerges after control becomes partial.
[Paper Notes] DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control
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How to Align Teleoperation Devices with Robot End Effectors
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The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Inverse Kinematics for Any URDF: Tasks, Weights, and Solver Design
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A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
[Paper Notes] D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping
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I Vibe Coded an Operating System
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I built a scripting-first OS prototype in a weekend with Codex, where the system language gradually takes over its own environment from the host.
Intelligence Is Not Only Reasoning
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Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Cognitive Bandwidth in the AI Agent Era
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As AI tools get more capable, the bottleneck shifts from tool friction to human cognitive bandwidth — compressing intent and steering effectively becomes the key skill.
[Paper Notes] RLinf → RLinf-USER → RL-Co: A Full-Stack RL Pipeline for Embodied VLA Training
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Updating website
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A major site update done mostly by Codex — page refactoring, content restructuring, and bilingual support.
[Paper Notes] SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering - RSS 2023
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Key information
- Model-based reinforcement learning (MBRL) is potentially more sample-efficient than model-free RL.
- Integration of differentiable physics-based simulation and rendering facilitates the learning process.
- Pipeline: Real2Sim -> Learn@Sim -> Sim2Real to produce efficient policies.
[Paper Notes] DayDreamer: World Models for Physical Robot Learning - CoRL 2022
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Key information
- This paper learns two models: a world model trained on off-policy sequences through supervised learning, and an actor-critic model to learn behaviors from trajectories predicted by the learned model.
- The data collection and learning updates are decoupled, enabling fast training without waiting for the environment. A learner thread continuously trains the world model and actor-critic behavior, while an actor thread in parallel computes actions for environment interaction.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides | Download Bibtex
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper | Download Slides
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Download Paper | Download Slides
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.