Excited to share that I’ll be joining UC San Diego for my PhD, advised by Professor Hao Su!
Many thanks to everyone who helped me along my research journey so far — I’m looking forward to continuing research in robot learning, manipulation, and simulation!
07.02.2025 02:07 — 👍 8 🔁 1 💬 0 📌 0
Accepted to ICLR 2025! :D
22.01.2025 17:47 — 👍 1 🔁 0 💬 0 📌 0
ManiSkill-HAB is my first first-author work, and it would not have been possible without the mentorship, guidance, and support of @stonet2000.bsky.social and Hao Su, and I'm incredibly thankful! I'm also thankful for the feedback provided by the Hillbot and Hao Su Lab teams.
19.12.2024 22:49 — 👍 2 🔁 0 💬 0 📌 0
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
High-quality benchmarks are the foundation for embodied AI research, enabling significant advancements in long-horizon navigation, manipulation and rearrangement tasks. However, as frontier tasks in r...
🔓 Everything is open source!
• Paper: arxiv.org/abs/2412.13211
• Code: github.com/arth-shukla/mshab
• Models: huggingface.co/arth-shukla/mshab_checkpoints
• Datasets: arth-shukla.github.io/mshab/#dataset-section
We hope our environments, baselines, and dataset are useful to the community :)
(5/5)
19.12.2024 22:47 — 👍 3 🔁 0 💬 1 📌 0
📊 We're releasing a massive dataset and generation tools to help the community solve these tasks
• 466GB of RGBD + state data
• 44K episodes
• 8.8M transitions
• Detailed event labeling + trajectory filtering
Download: arth-shukla.github.io/mshab/#dataset-section
(4/5)
19.12.2024 22:47 — 👍 2 🔁 0 💬 1 📌 0
🤖 We provide extensive RL & IL baselines and model checkpoints for whole-body control, tackling complex, very long-horizon rearrangement tasks. Each task chains multiple skills (Pick, Place, Open, Close) with simultaneous navigation & manipulation. (3/5)
19.12.2024 22:46 — 👍 2 🔁 0 💬 1 📌 0
⚡️ MS-HAB provides a GPU-accelerated implementation of the Home Assistant Benchmark (HAB) with realistic low-level control for successful grasping, manipulation, & interaction, all while achieving 3x the speed of prior work at similar GPU memory usage. (2/5)
19.12.2024 22:46 — 👍 2 🔁 0 💬 1 📌 0
📢 Introducing ManiSkill-HAB: A benchmark for low-level manipulation in home rearrangement tasks!
- GPU-accelerated simulation
- Extensive RL/IL baselines
- Vision-based, whole-body control robot dataset
All open-sourced: arth-shukla.github.io/mshab
🧵(1/5)
19.12.2024 22:45 — 👍 13 🔁 1 💬 1 📌 2
PhD candidate at UCSD. Prev: NVIDIA, Meta AI, UC Berkeley, DTU. I like robots 🤖, plants 🪴, and they/them pronouns 🏳️🌈
https://www.nicklashansen.com
Stand with Ukraine 🇺🇦
Robotics https://www.petrnovikov.com/
AI scientist/roboticist, farmer, and political economist. Governments structure markets. IP is theft.
https://advanced-eschatonics.com
UMIACS Postdoc - Incoming Assistant Professor @ SBU CS. Vision and Language. Prev. @RiceCompSci @vislang @merl_news @MITIBMLab. EECS Rising Star'23. Former drummer. 🇨🇷
https://paolacascante.com/
Doctor engineer in Robotics, robot hacker, and Full Professor at Rey Juan Carlos University. Leader of @IntellRobotLabs | ex-ROS 2 TSC
Assistant Professor @Princeton. Developing robots that plan and learn to help people. Prev: @Cornell, @MIT, @Harvard.
https://tomsilver.github.io/
Associate Professor at ASU. Research focus on safe and reliable AI and robotics; systems that learn generalizable knowledge for long-term planning and reasoning.
http://siddharthsrivastava.net
Correll Lab at the University of Colorado Boulder.
Robotics & Computer Science Professor, Director of USC School of Advanced Computing, Executive Vice Dean at USC Viterbi School of Engineering. Amazon Scholar.
Data Scientist & AI Expert | Growing a 6+ Figure Business | Entrepreneur 🔥
Innovation & Development lead/founder @therepairooms.bsky.social
Maker and Facilitator
I also draw, write, strum and holler a little too
Founder: @Repairclub @LDN_Makerspace @LDN_MakerFest | views r mine, all mine
Live, Laugh, Lockheed Martin.
Engineering Student. He/Him. Asexual. Neutral with almost everything.
Has played these games before.
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Assistant professor at University of Pennsylvania. Machine learning, optimization, robustness & interpretability.
Home page: https://www.cis.upenn.edu/~exwong/
Lab page: https://brachiolab.github.io/
Research blog: https://debugml.github.io/
Founded in 1979, the GRASP Laboratory is an interdisciplinary academic and research center, and premiere robotics incubator within Penn Engineering.
Stanford professor developing collaborative robotics. Directs the Assistive Robotics and Manipulation lab (ARMLab) http://arm.stanford.edu
