René's URL Explorer Experiment


Title: Allen Z. Ren - Princeton

direct link

Domain: allenzren.github.io

Links:

Physical Intelligence (π)https://www.physicalintelligence.company/
Ani Majumdarhttps://irom-lab.princeton.edu/majumdar/
self-righthttps://allenzren.github.io/images/video-walk-self-right.mp4
fingertips.https://www.youtube.com/watch?v=rxqQmImvoIw
Githubhttps://github.com/allenzren
G. Scholarhttps://scholar.google.com/citations?user=mgMzkYMAAAAJ&hl=en
LinkedInhttps://www.linkedin.com/in/allenzren/
Twitterhttps://twitter.com/allenzren
https://www.physicalintelligence.company/blog/pi05
https://diffusion-ppo.github.io
https://robot-help.github.io
Porter Ogden Jacobus Fellowshiphttps://gradschool.princeton.edu/financial-support/fellowships/princeton-fellowships/honorific-fellowship-porter-ogden-jacobus
Best Student Paper Awardhttps://robot-help.github.io/
"These robots know when to ask for help"https://www.technologyreview.com/2023/12/08/1084672/these-robots-know-when-to-ask-for-help/
"Machines Learn Better if We Teach Them the Basics"https://www.quantamagazine.org/machines-learn-better-if-we-teach-them-the-basics-20230201/
"Machine learning guarantees robots' performance in unknown territory"https://engineering.princeton.edu/news/2020/11/17/machine-learning-guarantees-robots-performance-unknown-territory
Physical Intelligencehttps://www.physicalintelligence.company/
YouTubehttps://www.youtube.com/watch?v=OmzgBnjpaqc
Porter Ogden Jacobus Fellowshiphttps://gradschool.princeton.edu/financial-support/fellowships/princeton-fellowships/honorific-fellowship-porter-ogden-jacobus
Nvidia Autonomous Driving Researchhttps://research.nvidia.com/labs/avg/
"Scientists Are Putting ChatGPT Brains Inside Robot Bodies. What Could Possibly Go Wrong?"https://www.scientificamerican.com/article/scientists-are-putting-chatgpt-brains-inside-robot-bodies-what-could-possibly-go-wrong
Best Student Paper Awardhttps://robot-help.github.io/
ILIADhttps://iliad.stanford.edu/
Dorsa Sadighhttps://dorsa.fyi/
Google DeepMindhttps://www.deepmind.com/
Andy Zenghttps://andyzeng.github.io/
"These robots know when to ask for help"https://www.technologyreview.com/2023/12/08/1084672/these-robots-know-when-to-ask-for-help/
Award For Excellencehttps://engineering.princeton.edu/news/2023/11/09/award-excellence-honors-graduate-student-achievement-4
"How do you make a robot smarter? Program it to know what it doesn't know"https://engineering.princeton.edu/news/2023/11/28/how-do-you-make-robot-smarter-program-it-know-what-it-doesnt-know
"Machines Learn Better if We Teach Them the Basics"https://www.quantamagazine.org/machines-learn-better-if-we-teach-them-the-basics-20230201
Toyota Research Institutehttps://www.tri.global/our-work/robotics
Hongkai Daihttps://hongkai-dai.github.io/
Ben Burchfielhttp://www.benburchfiel.com/
"Small, efficient sensors help drones fly in high winds"https://engineering.princeton.edu/news/2022/01/25/small-efficient-sensors-help-drones-fly-high-winds
"Words prove their worth as teaching tools for robots"https://engineering.princeton.edu/news/2022/12/21/words-prove-their-worth-teaching-tools-robots#:~:text=Exploring%20a%20new%20way%20to,using%20a%20variety%20of%20tools.
"Machine learning guarantees robots' performance in unknown territory"https://engineering.princeton.edu/news/2020/11/17/machine-learning-guarantees-robots-performance-unknown-territory
"Rock on - Just not too hard"https://hub.jhu.edu/magazine/2019/summer/guitar-injury-smartguitar-serap-bastepe-gray/
Smart Guitarhttps://www.youtube.com/watch?v=rxqQmImvoIw
Robotics Institute Summer Scholarshttps://riss.ri.cmu.edu/
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https://www.physicalintelligence.company/blog/pi05
π0.5: a Vision-Language-Action Model with Open-World Generalizationhttps://www.physicalintelligence.company/blog/pi05
Webpagehttps://www.physicalintelligence.company/blog/pi05
PDFhttps://www.physicalintelligence.company/download/pi05.pdf
Codehttps://github.com/Physical-Intelligence/openpi
https://www.physicalintelligence.company/research/knowledge_insulation
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Betterhttps://www.physicalintelligence.company/research/knowledge_insulation
Webpagehttps://www.physicalintelligence.company/research/knowledge_insulation
PDFhttps://www.physicalintelligence.company/download/pi05_KI.pdf
Codehttps://github.com/Physical-Intelligence/openpi
https://factored-data-scaling.github.io/
Guiding Data Collection via Factored Scaling Curveshttps://factored-data-scaling.github.io/
Webpagehttps://factored-data-scaling.github.io/
PDFhttps://arxiv.org/pdf/2505.07728/
Codehttps://github.com/irom-princeton/factored-scaling-curveso
https://diffusion-ppo.github.io
Diffusion Policy Policy Optimizationhttps://diffusion-ppo.github.io
Webpagehttps://diffusion-ppo.github.io
PDFhttps://arxiv.org/pdf/2409.00588
Codehttps://github.com/irom-princeton/dppo
https://aasherh.github.io/byovla/
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robusthttps://aasherh.github.io/byovla/
Webpagehttps://aasherh.github.io/byovla/
PDFhttps://arxiv.org/pdf/2410.01971
Codehttps://github.com/irom-princeton/byovla
https://arxiv.org/abs/2412.05563
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions https://arxiv.org/abs/2412.05563
PDFhttps://arxiv.org/abs/2412.05563
https://arxiv.org/abs/2411.01790
Thinking Forward and Backward: Effective Backward Planning with Large Language Modelshttps://arxiv.org/abs/2411.01790
PDFhttps://arxiv.org/pdf/2411.01790
https://explore-eqa.github.io
Explore until Confident: Efficient Exploration for Embodied Question Answeringhttps://explore-eqa.github.io
Webpagehttps://explore-eqa.github.io
PDFhttps://arxiv.org/pdf/2403.15941
Videohttps://www.youtube.com/watch?v=Dn8WjF9gIiQ
Codehttps://github.com/Stanford-ILIAD/explore-eqa
https://perceive-with-confidence.github.io
Webpagehttps://perceive-with-confidence.github.io
PDFhttps://arxiv.org/pdf/2403.08185.pdf
Videohttps://www.youtube.com/watch?v=sztc832hw0c
Codehttps://github.com/irom-princeton/perception-guarantees
https://robot-teaching.github.io
Learning to Learn Faster from Human Feedback with Language Model Predictive Controlhttps://robot-teaching.github.io
Webpagehttps://robot-teaching.github.io
PDFhttps://arxiv.org/abs/2402.11450
Codehttps://colab.research.google.com/drive/1YcRN_kklw3cVVJNvgK_IEV6nDce9EJWK?usp=sharing"
https://sites.google.com/view/openbidexhand
Learning a Universal Human Prior for Dexterous Manipulation from Human Preferencehttps://arxiv.org/pdf/2304.04602.pdf
Webpagehttps://sites.google.com/view/openbidexhand
PDFhttps://arxiv.org/pdf/2304.04602.pdf
https://openreview.net/forum?id=1aRNtmy5zX
How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policieshttps://openreview.net/forum?id=1aRNtmy5zX
PDFhttps://openreview.net/forum?id=1aRNtmy5zX
https://robot-help.github.io
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Plannershttps://robot-help.github.io
Webpagehttps://robot-help.github.io
PDFhttps://arxiv.org/pdf/2307.01928.pdf
Videohttps://www.youtube.com/watch?v=xCXx09gfhx4
Codehttps://github.com/google-research/google-research/tree/master/language_model_uncertainty
Demohttps://colab.research.google.com/drive/1EvAmHfFrasb_eALj4vWNMhwlJCdNfIAg?authuser=1
Princeton News https://engineering.princeton.edu/news/2023/11/28/how-do-you-make-robot-smarter-program-it-know-what-it-doesnt-know
MIT Technology Review https://www.technologyreview.com/2023/12/08/1084672/these-robots-know-when-to-ask-for-help/
https://irom-princeton.github.io/AdaptSim/
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transferhttps://irom-princeton.github.io/AdaptSim/
Webpagehttps://irom-princeton.github.io/AdaptSim/
PDFhttps://arxiv.org/pdf/2302.04903.pdf
Videohttps://www.youtube.com/watch?v=p2msMCOFDDg
https://saferoboticslab.github.io/SimLabReal
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guaranteeshttps://saferoboticslab.github.io/SimLabReal
Webpagehttps://saferoboticslab.github.io/SimLabReal
PDFhttps://arxiv.org/pdf/2201.08355.pdf
Journalhttps://www.sciencedirect.com/science/article/abs/pii/S0004370222001515
Codehttps://github.com/SafeRoboticsLab/SimLabReal
https://irom-princeton.github.io/ATLA/
Leveraging Language for Accelerated Learning of Tool Manipulationhttps://irom-princeton.github.io/ATLA/
Webpagehttps://irom-princeton.github.io/ATLA/
PDFhttps://arxiv.org/pdf/2206.13074.pdf
Videohttps://www.youtube.com/watch?v=KTd6y-rf1Mk
Princeton Newshttps://engineering.princeton.edu/news/2022/12/21/words-prove-their-worth-teaching-tools-robots#:~:text=Exploring%20a%20new%20way%20to,using%20a%20variety%20of%20tools.
Quanta Magazinehttps://www.quantamagazine.org/machines-learn-better-if-we-teach-them-the-basics-20230201/
https://www.youtube.com/watch?v=KWqkH9Z-338
FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensorshttps://www.youtube.com/watch?v=KWqkH9Z-338
PDFhttps://arxiv.org/pdf/2210.05857.pdf
Videohttps://www.youtube.com/watch?v=KWqkH9Z-338
Princeton Newshttps://engineering.princeton.edu/news/2022/01/25/small-efficient-sensors-help-drones-fly-high-winds
https://arxiv.org/pdf/2202.05894.pdf
Failure Prediction with Statistical Guarantees for Vision-Based Robot Controlhttps://arxiv.org/pdf/2202.05894.pdf
PDFhttps://arxiv.org/pdf/2202.05894.pdf
Videohttps://www.youtube.com/watch?v=z4UwQzTjhqo
https://arxiv.org/pdf/2107.06353.pdf
Distributionally Robust Policy Learning via Adversarial Environment Generationhttps://arxiv.org/pdf/2202.05894.pdf
PDFhttps://arxiv.org/pdf/2107.06353.pdf
Videohttps://www.youtube.com/watch?v=E_DlR18cmSY
Codehttps://github.com/irom-princeton/DRAGEN
https://arxiv.org/pdf/2111.08761.pdf
Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Datahttps://arxiv.org/pdf/2111.08761.pdf
PDFhttps://arxiv.org/pdf/2111.08761.pdf
https://www.youtube.com/watch?v=dfXyHvOTolc&t=1s
Generalization Guarantees for Imitation Learning https://www.youtube.com/watch?v=dfXyHvOTolc&t=1s
PDFhttps://arxiv.org/pdf/2008.01913.pdf
Codehttps://github.com/irom-princeton/PAC-Imitation
Videohttps://www.youtube.com/watch?v=nabtvOWoIlo
Experimentshttps://www.youtube.com/watch?v=dfXyHvOTolc&t=1s
Princeton Newshttps://engineering.princeton.edu/news/2020/11/17/machine-learning-guarantees-robots-performance-unknown-territory
https://www.youtube.com/watch?v=rxqQmImvoIw
Multi-Contact Force-Sensing Guitar for Training and Therapy https://www.youtube.com/watch?v=rxqQmImvoIw
PDFhttps://allenzren.github.io/PDF/sensor_2019.pdf
IEEEhttps://ieeexplore.ieee.org/document/8956729
Videohttps://www.youtube.com/watch?v=rxqQmImvoIw
JHU Magazinehttps://hub.jhu.edu/magazine/2019/summer/guitar-injury-smartguitar-serap-bastepe-gray/
WUSA9 Newshttps://www.wusa9.com/article/news/local/dc/this-smartguitar-can-help-musicians-train-avoid-long-term-damage/65-0242c076-4a80-4a55-866a-d62211a9d8fc
Patenthttps://jhu.technologypublisher.com/technology/36912
https://allenzren.github.io/PDF/riss_2018.pdf
Toward Robust Stair Climbing of the Quadruped using Proprioceptive Sensing https://allenzren.github.io/PDF/riss_2018.pdf
PDFhttps://allenzren.github.io/PDF/riss_2018.pdf
https://arxiv.org/pdf/1911.02526.pdf
Dynamic Traversal of Large Gaps by Insects and Legged Robots Reveals a Templatehttps://arxiv.org/pdf/1911.02526.pdf
PDFhttps://arxiv.org/pdf/1911.02526.pdf
Journalhttps://iopscience.iop.org/article/10.1088/1748-3190/aaa2cd
https://meetings.aps.org/Meeting/MAR18/Session/B50.10
Legged Robots Change Locomotor Modes To Traverse 3-D Obstacles With Varied Stiffnesshttps://meetings.aps.org/Meeting/MAR18/Session/B50.10
Abstracthttps://meetings.aps.org/Meeting/MAR18/Session/B50.10
MLBoosthttps://www.youtube.com/watch?v=xvXrPdPb3Ko
Githubhttps://github.com/allenzren/open-pi-zero
OOD Workshophttps://sites.google.com/stanford.edu/ood-workshop-rss-25/
RoboEval Workshophttps://sites.google.com/stanford.edu/robot-evaluation-rss-2025/
OOD Workshophttps://sites.google.com/stanford.edu/corl2023ood
Princeton Robotics Seminarhttps://robo.princeton.edu/seminar
Robotics at Princetonhttps://robo.princeton.edu
my story in Chinesehttps://www.zhihu.com/question/39976247/answer/114491085
Princeton Flying Clubhttp://www.princetonflyingclub.com/
https://www.google.com/search?q=hudson+corridor
Andy'shttps://andyzeng.github.io/

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URLs of crawlers that visited me.