We are the Interactive Robotics Group at MIT, a part of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Aero/Astro Department.
Cambridge, MA
Joined November 2011
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MITRobotics retweeted
I'm really happy to share that our research has been published in the journal @Nature !
Why do you think the self-driving car stopped in this video? Because it detected the pedestrian? Or something else?
Hint: The glowing green concept is telling you what the car is detecting.
MITRobotics retweeted
.@MIT_CSAIL PhD candidate Felix Yanwei Wang is in the final year of his program working with the lab’s Interactive Robotics Group, researching robot learning, specifically inference-time policy alignment through human interactions.
Read more about Felix: bit.ly/445dEtA
MITRobotics retweeted
Want your robot to clean the kitchen your way? 🧹✨
🔗yanweiw.github.io/itps/"
Introducing Inference-Time Policy Steering: a training-free method that lets you specify where and how to manipulate objects, so you can guide non-interactive policies to align with your preferences!
MITRobotics retweeted
Excited to present our #NeurIPS2024 Oral talk! 🚀
Enhancing Preference-based Linear Bandits via Human Response Time
Coffee or tea? If you choose instantly, you likely have a strong preference. How can AI leverage this psychological insight to better learn human preferences?
Curious? Don't think too long! Let's connect and explore how psychology drives smarter AI.
📅 Dec. 11, 3:30-3:50 PM PST
📍 Oral Session 2A: Agents (East Ballroom A, B)
👉 Conference Session neurips.cc/virtual/2024/post…
👉 Paper on arXiv arxiv.org/pdf/2409.05798
Excited to share our new work: Enhancing Preference-based Linear Bandits via Human Response Time ⏱️🤖
@edgeyyzhang, Zhaolin Ren, Prof. Na Li, @ClaireYLiang, Prof. @julie_a_shah
👉 arxiv.org/abs/2409.05798
We show that human response times provide information about human preference strength, and speed up preference learning. This complements existing bandit algorithms that only learn from binary choices. We demonstrate this by integrating a psychology model (the EZ-Diffusion Model) into a bandit algorithm.
#AI #MachineLearning #RLHF #HumanFeedback #psychology #Bandits #Robotics #EZDiffusionModel
MITRobotics retweeted
Announcing Versatile Demonstration Interface (VDI) – a tool for collaborative robots that makes it easier to collect task demonstrations using three common Learning from Demonstration approaches.
MITRobotics retweeted
Before everyone flees twitter... new paper coming out at NeurIPS!
Humans compress meanings into complexity limited discrete representations (words). Can neural nets learn similar communication? Yes! (1/7)
MITRobotics retweeted
Super grateful for this chance to continue exciting *interdisciplinary* research. Thanks to my advisor, @julie_a_shah, but also so many collaborators from other departments (@roger_p_levy and @NogaZaslavsky) and inspiring labmates and researchers.
Amazon and @MIT_SCC announced their first set of Amazon Fellows as part of their Science Hub, which aims to expand participation in AI, robotics, and other fields. They will receive funding to conduct independent research projects at MIT. Meet the fellows. #MachineLearning
MITRobotics retweeted
New journal paper on Latent Space Alignment! Neural agents learn latent representations spaces, but often each agent learns its own idiosyncratic space. How can we align those space among agents or even with humans? tandfonline.com/doi/full/10.…
MITRobotics retweeted
Happy to announce... Well, this paper didn't get in, but I still think it's neat. Using the same probe-based method for testing if language models use representations of syntax, we can "fix" RL agent perception (e.g., notice an oncoming car): arxiv.org/abs/2201.12938
MITRobotics retweeted
It's Monday morning, which means it's the perfect time to start thinking about information theory, brains, and neural nets! Submit to #InfoCog2022 @NeurIPSConf
Organized by @NogaZaslavsky @gershbrain
@sepalmerNeuro @C4COMPUTATION
sites.google.com/view/infoco…
MITRobotics retweeted
📣 Very excited to announce our in-person #NeurIPS2022 workshop on Information-Theoretic Principles in Cognitive Systems!
Check out our lineup of invited speakers and CFP, submit short papers by September 19
sites.google.com/view/infoco…
#InfoCog2022 @NeurIPSConf
MITRobotics retweeted
New paper (to appear in ICML)! Using a new prototype-based classifier, we show how notions of fair and hierarchical classification are tightly related, and how we can directly control "concept relationships" to switch between modes.
MITRobotics retweeted
What a great start of @ieee_ras_icra. The #icra2022 workshop on #cobots and @workofthefuture organised by @robo_kween, @julie_a_shah, Chris Fourie, Ben Armstrong & co-organisers was wonderful! sites.google.com/view/icra22…
MITRobotics retweeted
New language probing work hot off the arxiv press (and coming to NAACL in July)! A two-line code change creates "dropout probes" that fix a fundamental flaw of false negatives in our prior work. arxiv.org/abs/2204.09722
MITRobotics retweeted
New paper! Can we leverage insights from NLP for better emergent communication? In this first step, we build agents that communicate via simplified word embeddings, supporting human-agent interaction and some zero-shot understanding! arxiv.org/abs/2108.01828
MITRobotics retweeted
Had such a great time being the President of @mit_spi this past year. Was legitimately one of my favorite teams to work with! I'll be sticking around on the exec board as Special Events Chair, & I'm so excited for a year of @SerenaLBooth's leadership as our new President!
MITRobotics retweeted
As robots enter the public sphere, Julie Shah and Laura Major SM ’05 are urging designers to rethink their fit with society. “It takes a village to raise a child to be a well-adjusted member of society,” they write in a new book. “So, too, a robot.” mitsha.re/n6zh50BZHcD
MITRobotics retweeted
How can how humans and robots truly collaborate, instead of just co-existing?
I interviewed @julie_a_shah about her research in interactive robotics @MITRobotics
cacm.acm.org/news/247774-pre…
MITRobotics retweeted
Interactive Robotics Group @MITRobotics is seeking participants for a *remote* robot training study. Details and instructions at: people.csail.mit.edu/ajshah/…
MITRobotics retweeted
My 5 year old successfully commanded Optimus to hold this pipe! Leaps in human-robot collaboration being made in @julie_a_shah's lab @MITRobotics #robotics
