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Igor Gilitschenski
@igilitschenski
Assistant Professor in Computer Science at . Also Research Scientist at . Previously at , , .
Igor Gilitschenski’s Tweets
This week, 's #ChatGPT had its debut on the floor of the European parliament. used it to write a speech on the regulation of political advertisement. I wonder how ChatGPT would do in political negotiating. 😉
English translation: europarl.europa.eu/plenary/en/vod
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Ich habe diese Woche im Europäischen Parlament eine von #ChatGPT geschriebene Rede gehalten. Und keiner hat‘s gemerkt! 
Da könnte man jetzt sagen: Cool, die erste von #KI-geschriebene Rede im #EU-Parlament, ein quasi historischer Moment. Mir geht‘s aber um etwas Anderes. 
Da könnte man jetzt sagen: Cool, die erste von #KI-geschriebene Rede im #EU-Parlament, ein quasi historischer Moment. Mir geht‘s aber um etwas Anderes. Show this thread
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My train should win an award for friendliest staff with the most dry humour. 😂 Approaching one of them about forgetting to tap my card, I was informed that food in the Go train jail is much better than it used to be! 🍷🍱🧑🍳 I’m SO relieved.
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Besides developing new technology, I have always also been passionate about its societal impact and broader public policy. Thus, I am excited to have joined as a faculty affiliate and very much look forward to interdisciplinary exchange opportunities beyond CS.
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Virtual Seminar Tomorrow Fri, 27Jan23 @ 3:00PM ET with Prof Mac Schwager on how #robots use neural environment representations, 3D maps stored as deep networks, for perception, motion planning, manipulation, and simulation. youtube.com/watch?v=5H8dL6 #Robotics #AI 🦾🤖
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If you are working on HCI and looking for a cool postdoc position, my colleague is doing inspiring work. This is an amazing opportunity!
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Please RT!
Looking to hire an #HCI postdoc at University of Toronto in the broad areas related to Human-AI Interaction and Intelligent Programming Tools. Contact me or fill this form: forms.gle/sTYh5kwhvjDyLi #chi2023 #uist2023 #iui2023 @sigchi @ACMIUI
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Need a new, easy-to-use RL algorithm?
(Which is essentially DQN but for continuous control Tasks!)
DecQN was accepted at #ICLR2023
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In our recent paper, we show that a minor variation of DQN actually solves many continuous control problems from state or pixels on par with state-of-the-art actor critic methods such as (D4PG, DMPO, SAC, DrQv2, DreamerV2, ...).
arxiv.org/abs/2210.12566
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Thanks, and team for inviting me to give a talk at the Robotics Seminar this morning. It was a lot of fun to meet all of you! Unfortunately, I was remote: the weather in Toronto ❄️☃️ is very different from the weather in Haifa☀️🌴 this time of year.
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💡 Are you a #UofT researcher who is passionate about ensuring new technologies are responsible and fair?
Apply for a 2023 Schwartz Reisman faculty or graduate fellowship. Deadline: February 5, 2023.
Learn more: bit.ly/sri-fellowship
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Happy to have many fellow roboticists from „Absolute Robotics“ visit for their season kickoff in the Robotics Competition. #ChargedUp
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Starting the holiday season with hundreds of grad applications to review. With so many brilliant applicants, this feels every time like an almost impossible task.
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I have joined Mastodon. Find and follow me at @igilitschenski@sigmoid.social.
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Join our Toronto AIR Seminar on 12/12 at 10:30 am E.T. to hear ’s recent work, Shared Autonomy: From Human-Robot Collaboration to Humanoid Robot Teleoperation!!
More info: robotics.cs.toronto.edu/toronto-air/
Zoom: utoronto.zoom.us/j/82119478610
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What's the best part of virtual workshops at #NeurIPs2022? Engaging with a huge variety of top researchers without the overwhelming venue.
Video optional, no stress, high insight.
Here's where you can learn with the best at the Robot Learning workshop on Trustworthiness.
🧵
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Maplab 2.0 paper seems out on ArXiV. Congrats Andrei, Lukas, and everyone at !
preprint: arxiv.org/abs/2212.00654
code: github.com/ethz-asl/maplab
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The national team was on my flight. No trip ever felt so safe. Good luck at the Vancouver Fencing World Cup! 🤺🏅
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In the next talk in preparation for the #NeurIPS2022 Robot Learning Workshop, 's is giving a wonderful perspective on "Uncertainty Aware Machine Learning for Robotics"
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Join our Toronto AIR Seminar on 12/05 at 10:30 am E.T. to hear 's recent work, Event Cameras and How to Make Them Useful!!
More info: robotics.cs.toronto.edu/toronto-air/
Zoom: utoronto.zoom.us/j/82119478610
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In the first talk of the #NeurIPS2022 Robot Learning Workshop's Uncertainty Aware Robotics panel, 's brilliant explains how "Real Robots Learn with Structure"
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Very excited to announce that Leila Takayama (UCSC) is joining our #RobotLearning workshop at #NeurIPS2022 to talk about:
'Why Robots Need Social Skills'
Please find the video under
youtu.be/RWzqGY6jiq4
And join us on the 9.12!
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In today's inspiring talk in our #NeurIPS2022 Robot Learning Workshop series, 's is sharing her "hopes and dreams of communicating with machines and where to begin". Check it out!
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Join our Toronto AIR Seminar on 11/28 at 10:30 am E.T. to hear ’s recent work, Neural World Models for Autonomous Driving!!
More info: robotics.cs.toronto.edu/toronto-air/
Zoom: utoronto.zoom.us/j/82119478610
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Another exciting talk for the #RobotLearning workshop at #NeurIPS2022
Katherine Driggs-Campbell & Zhe Huang are joining us to talk about 'Representing Interactions for Robot Navigation'
youtube.com/watch?v=wf99GV
Looking forward to the 9th of December!
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Another day, another talk!
(for the #RobotLearning workshop @ #NeurIPS2022)
Sarah Dean and Andrew Taylor are joining us to discuss
'Towards Certifiably Safe Nonlinear Control with Sensor and Dynamics Uncertainties'
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The next talk in our Robot Learning 🤖🧑🏫 Workshop series is by ' Matthew Johnson-Roberson in which he gives an insightful perspective on Self-Driving Cars 🚘 in the context of Robot Learning.
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This is the first talk from our panel on "Safety and Verification for Decision-making Systems". Full workshop program available on our website robot-learning.ml/2022/ 2/2
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Continuing the Robot Learning Workshop talk series, I am excited to share "A Vision for Certifiable Perception: from Outlier-Robust Estimation to Self-Supervised Learning" by 's amazing & 1/2
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Join our Toronto AIR Seminar on 11/21 at 10:30 am E.T. to hear ’s recent work, Generalizing Out-of-Distribution using Counterfactual Data Augmentation!!
More info: robotics.cs.toronto.edu/toronto-air/
Zoom: utoronto.zoom.us/j/82119478610
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Ready for our 4th video for the workshop on #RobotLearning? 🤖👇
Today we have Gabriel Barth-Maron & Jackie Kay from
discussing their work on 'A Generalist Agent (GATO)'
youtube.com/watch?v=g8eAr0
Join us (virtually) at #NeurIPS2022 !
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Since everyone only tags these when things go wrong.. Great job and 👏🎉! Submitting just a few minutes before deadline worked without any problems!! I do wonder how many GB they get in the final minutes/seconds 🤔..
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Happy to share the third talk 📢 in preparation for the Scaling & Models Panel at the #NeurIPS2022 Workshop on Robot Learning. 🦾 's and sharing their perspective on "Language as a Connective Tissue for Robotics"
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The talk by addresses one of the most important questions in ML research “🤯🤯🤯 Why isn’t it working?🤯🤯🤯“
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We have from visiting the institute today. Tune in for his talk at 3pm ET.
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Don't miss it! Nov 11, 2022 @ 3PM - Seminar with @NikolaiMatni Assistant Prof at Uof Pennsylvania @Penn & Google Brain Robotics @GoogleAI Visiting Faculty Researcher. Meet & greet follows 4 - 5PM for in-person. Virtual option youtube.com/watch?v=nwBq92 
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Join our Toronto AIR Seminar on 11/14 at 10:30 am E.T. to hear ’s recent work, Towards Generative Modeling of 3D Objects Learned from Images!!
More info: robotics.cs.toronto.edu/toronto-air/
Zoom: utoronto.zoom.us/j/82119478610
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Ready for our 2nd workshop on #RobotLearning video? 🤖👇
Today we have Anusha Nagabandi & Haoran Tang from discussing the challenges of 'Trustworthy AI Robotics for Real-world Logistics'
youtube.com/watch?v=DIbR5R
Still time to register and join us at #NeurIPS2022 !
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Can't wait for the #NeurIPS2022 Workshop on Robot Learning? 🤖👨🏫 We got you! In the upcoming weeks, we will post talks of our panelists starting with & who have cool insights on "Language as Robot Middleware" 🤖💬🚀
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Join our Toronto AIR Seminar on 11/7 at 10:30 am E.T. to hear Jun Yang’s recent work, 6D Pose Estimation for Textureless Objects on RGB Frames using Multi-View Optimization!!
More info: robotics.cs.toronto.edu/toronto-air/
Zoom: utoronto.zoom.us/j/82119478610
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