Work Together. Create Smart Machines. Serve Society. 🤖 The University of Michigan Robotics Department.

Ann Arbor, MI
In case the cicadas haven't told you, fall is just around the corner. See what we've done this summer! Read the latest Michigan Robotics newsletter: umrobotics.substack.com/p/a-…
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Michigan Robotics retweeted
SKF is accepted for @NeurIPSConf as spotlight! Wow, I didn't expect it. Kudos to AC and reviewers for valuing basic research. We feel extra rewarded and motivated!
A tour de force by my student Kaito Iwasaki and collaborators for nonlinear non-Gaussian Bayesian filtering, SKF. Moment representation + score matching -> solving linear systems. It exactly recovers information from KF for linear-Gaussian systems. arxiv.org/abs/2605.16644
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Michigan Robotics retweeted
NEW ARTICLE: “Small robot propulsion: low-power twisting enables hopping, swimming.” The mechanism works on challenging surfaces such as slippery cloth and grass-covered ground, producing frog-like motion. news.engin.umich.edu/2026/09…
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Michigan Robotics retweeted
Congrats to @XinYe_Eva for her paper receiving the HFES HART Best Student Paper Runner-Up Award! #HFES2026 @HFES @umsi @UMRobotics #securityrobot
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Do you want a robot that’s too confident? Or one that knows when to be uncertain about what’s ahead? New work from @TheLuisMarques and @umicharmlab.
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Michigan Robotics retweeted
We just hit 1000 users on our Open Robotics @zulip server. Zulip is our open source alternative to Discord. We migrated late last year and the experience has been nothing short of fantastic; no bots, no spam, and threaded conversations! ⬇️⬇️⬇️
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It's not yet September, but we have #IROS2026 on the mind. Get tips for visiting Pittsburgh and the latest robotics research from Michigan roboticists in our IROS summary. Read: robotics.umich.edu/news/2026…
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We locally calibrate uncertainty in approximate dynamics models! By conditioning on latent observation embeddings, states, and actions, we enable uncertainty-aware planning in u̲n̲s̲e̲e̲n̲ test environments! More on this @wafr_conf paper w/ @TheLuisMarques @UMRobotics below ⬇
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Thank you Ilir for spreading the word! We'll be sharing more courses in the future.
The University of Michigan put their entire robotics degree on GitHub. Not one course. The whole curriculum. ROB 101 — Computational Linear Algebra for Robotics ROB 311 — How to Build Robots and Make Them Move ROB 501 — Mathematics for Robotics ROB 530 — Mobile Robotics Every lecture video on YouTube. Every textbook on GitHub. Every problem set, every exam, every line of code. Professor Jessy Grizzle said it best when they launched it: "Linear algebra has become the language of computer vision, machine learning, robotics, and autonomy." So instead of making students wait four semesters of calculus before touching a robot... they built a curriculum that starts with the math that actually matters, applied to real robotics problems from day one. This is what open education looks like when a top-10 engineering school decides to mean it. Free. GitHub. YouTube. 📌 [github.com/michiganrobotics] Follow for more robotics resources! —— Weekly robotics and AI insights. Subscribe free: 22astronauts.com
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Michigan Robotics retweeted
Stroke remains a leading cause of adult disability. It is responsible for high personal and public costs, with an annual total of $56.2 billion in the United States, including the cost of acute hospital care, rehabilitation, and days of missed work. professional.heart.org/en/sc… Rehabilitation plays a key role in reducing disability and promoting quality of life after stroke. The goal of rehabilitation is for patients with stroke to be restored as closely as possible to normal form and independent functioning, minimizing required assistance and promoting a high quality of life. ✍🏼@alicen_whitaker @CVCatMCW @NeuroscienceMCW @MedicalCollege @dukemedschool @duke_Oto @duke_neurology @duke_brain @dukehealth @AbilityLab @uutah @NeuRRoLab @UMichPMR @umichmedicine @UMichResearch @UMKines @umflintdpt @UMRobotics @UMneurosciences @UMBME @umichme @IowaPT
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Michigan Robotics retweeted
What if robot hands could acquire dexterity once, then reuse it to learn downstream tasks much faster? Introducing ADEPT: a pre-training & post-training paradigm using RL entirely in sim, then zero-shot deploying visuo-tactile policies in the real world. 🔗adept-dexterity.github.io with Dex team @NVIDIAAI
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Michigan Robotics retweeted
Robotics at University of Michigan is on 🔥! Plus, it's completely open-sourced and free. @UMRobotics put their entire robotics program on GitHub. Everything. Code. Textbooks. Examples. Simulations. That's what inside: → ROB 101: Computational Linear Algebra. Foundation course on the math that actually powers robots. → ROB 201: Calculus for the Modern Engineer. They wrote a textbook from scratch (GPL-licensed, on GitHub) because standard calculus doesn't address what engineers need. → ROB 204: Introduction to Human-Robot Systems. How humans and robots actually interact. → ROB 311: How to Build Robots and Make Them Move. The gap between theory and practice. → ROB 501: Mathematics for Robotics. Graduate-level rigor with code examples and interactive Jupyter notebooks. If you want to learn robotics math from one of the world's best robotics departments, it's free. Over 2,800 GitHub stars on the math courses alone. Thousands of people learning robotics, just because it's open for everyone :) This is how you build the next generation of roboticists. 🔗 Access it here: github.com/michiganrobotics ~~ ♻ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Michigan Robotics retweeted
After 4 wonderful years, I'm signing off from NVIDIA. Working at NVIDIA's Seattle Robotics Lab was an absolute pleasure. Amazing collaborators, a great research environment, and friendships I'll keep for life. Before I start at @UMRobotics next year, I'm joining @proceptionAI to lead the effort to build the dexterous manipulation learning stack. Proception is a full-stack robotics startup that is already shipping robot hands and data-collection gloves. I believe solving dexterous manipulation requires co-designing the entire stack: hardware, software, and AI. Proception is one of the few places where you can actually do that. We're building the best dexterous manipulation system in the world — hands, data, and policies together. If that's the problem you want to work on, come build with us. Links below.
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New Research: "Bite-Bot: A robo-physical model for studying snake envenomation" 🐍 👉🔗 Learn more about the development from U-M ME and @UMRobotics: bit.ly/3UanGGF
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A 67-gram robot that climbs plant stems, builds a 3D map, and navigates autonomously among branches and leaves from @umicharmlab. The goal: spot pests hiding under foliage before crop damage.
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