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Deepak Pathak
@pathak2206
Co-Founder & CEO @SkildAI, Faculty @CarnegieMellon. PhD @UCBerkeley; BTech @IITKanpur I study topics in AI (robotics, machine learning & computer vision).
Pittsburgh, PA
cs.cmu.edu/~dpathak/
Joined May 2013
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    Deepak Pathak
    @pathak2206
    Apr 8
    We hosted Prof. Alyosha Efros (UC Berkeley) at @SkildAI! He didn't believe that robots could actually cook eggs reliably. :) Tested back-to-back 5times without fail! One batch of scrambled eggs every ~2.5mins nonstop. The same model assembles a GPU on a server rack too.
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    Deepak Pathak
    @pathak2206
    Sep 26, 2023
    Even after 4yrs of locomotion research, we keep getting surprised by how far we can push the limits of legged robots! We report a major update 🚀🤖 Extreme Parkour: extremely long & high jumps, ramp, handstand, etc. all with a single neural net! extreme-parkour.github.io 🧵(1/n)
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    Deepak Pathak
    @pathak2206
    Jun 13, 2023
    🤖 Robotics often faces a chicken and egg problem: no web-scale robot data for training (unlike CV or NLP) b/c robots aren't deployed yet & vice-versa. Introducing VRB: Use large-scale human videos to train a *general-purpose* affordance model to jumpstart any robotics paradigm!
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    Deepak Pathak
    @pathak2206
    Jan 19, 2022
    LLMs like GPT-3 and Codex contain rich world knowledge. In this fun study, we ask if GPT like models can plan actions for embodied agents. Turns out, with apt sanity checks, even vanilla LLMs without any finetuning can generate good high-level plans given a low-level controller.
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    Deepak Pathak
    @pathak2206
    Jul 10, 2020
    RL gets specific to the robot it is trained on. Can a policy be trained to control many agents? Turns out, training (shared) policy for each motor instead of whole robot not only achieves SOTA at train but also transfers to unseen agents w/o fine-tuning! huangwl18.github.io/modular-rl
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    Deepak Pathak
    @pathak2206
    Nov 15, 2022
    After 3yrs of locomotion research, we report a major update in our #CoRL2022 (Oral) paper: vision-based locomotion. Our small, safe, low-cost robot can walk almost any terrain: high stairs, stepping stones, gaps, rocks. Stair for this robot is like climbing walls for humans.
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    Deepak Pathak
    @pathak2206
    Jul 9, 2024
    Thrilled to announce @SkildAI! Over the past year, @gupta_abhinav_ and I have been working with our top-tier team to build an AI foundation model grounded in the physical world. Today, we’re taking Skild AI out of stealth with $300M in Series A funding, led by @lightspeedvp,
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    Deepak Pathak
    @pathak2206
    Jul 20, 2022
    How can we enable robots to perform diverse tasks? Designing rewards or demos for each task is not scalable. We propose WHIRL which learns by watching a single human video followed by autonomous exploration *directly* in the real world (no simulation)! human2robot.github.io
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    Deepak Pathak
    @pathak2206
    Sep 22, 2023
    Robotic hands are daunting -- costly yet super fragile. After yrs of frustration, we decided to make one that is better, stronger & anyone can build! Open sourcing LEAP Hand 🚀🤖 - low cost ($2K) - 3D printed. Easy to assemble (3hr) - sim2real code etc. leaphand.com
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    Deepak Pathak
    @pathak2206
    May 13, 2020
    RL agents get specific to tasks they are trained on. What if we remove the task itself during training? Turns out, a self-supervised planning agent can both explore efficiently & achieve SOTA on test tasks w/ zero or few samples in DMControl from images! ramanans1.github.io/plan2explore
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    Deepak Pathak
    @pathak2206
    Jul 9, 2024
    Thrilled to announce @SkildAI! Over the past year, @gupta_abhinav_ and I have been working with our top-tier team to build an AI foundation model grounded in the physical world. Today, we’re taking Skild AI out of stealth with $300M in Series A funding: forbes.com/sites/rashishr…
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    Deepak Pathak
    @pathak2206
    Sep 12, 2019
    I'm excited to share that I'll be joining CMU (@CarnegieMellon) as an Assistant Professor in the School of Computer Science (@SCSatCMU) in 2020! Grateful to my mentors and friends in making this possible. Looking forward to the exciting years ahead at @CMU_Robotics and @mldcmu!
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    Deepak Pathak
    @pathak2206
    Sep 24, 2025
    In-context learning for Robotics is here. Skild Brain adapts to new bodies and survives extreme shifts — without ever being trained on any of these robots.
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    Skild AI
    @SkildAI
    Sep 24, 2025
    We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain:
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    Deepak Pathak
    @pathak2206
    Oct 20, 2021
    How could we enable an agent to perform many tasks? Supervising for every new task is impractical. We present Latent Explorer Achiever (LEXA) that explores by discovering goals far beyond the frontier and then achieves test tasks, specified via images, in a zero-shot manner.
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