I will be at #NeurIPS2025 this week!
I will be giving a talk on the Table Tennis Robotics project at Google Deepmind at the MyoSymposium on Athletic Intelligence (https://t.co/7nZuU6e8Ze) and participating in discussing our two papers at NeurIPS:
@interlatent Nice website! The "discrete" versus "chunking" distinction might not be the right one. A chunk can output discrete or continuous values. I think "one step" versus chunking can be a better way.
Adding to this with a personal experience —
I've witnessed this firsthand at
Virupaksha Temple, Hampi.
That glowing inverted image behind us?
It's the 52-metre gopuram —
projected through a tiny opening
in the wall.
A pinhole camera. Built centuries ago.
Our ancestors weren't worshipping
in spite of science. They were worshipping through it.
Science. Geometry. Astronomy. Devotion.
One seamless pursuit. 🇮🇳
@AnandMahindra — Hampi deserves
its own visit on your list too. 🙏
I will be at #NeurIPS2025 this week!
I will be giving a talk on the Table Tennis Robotics project at Google Deepmind at the MyoSymposium on Athletic Intelligence (https://t.co/7nZuU6e8Ze) and participating in discussing our two papers at NeurIPS:
Congrats Pieter Abbeel @pabbeel - Amazon's new AGI Head.
TPOT needs no introduction to him. He is a pioneer in Robotics and DeepRL. Has 231K citations.
He is Prof UC Berkeley; has been an Amazon Distinguished Scientist / VP / Scholar since 2024 focussed on Advancing AI and Robotics.
He has advised legendary doctoral students like Chelsea Finn (@chelseabfinn) of Physical Intelligence and John Schulman (@johnschulman2) - ex OpenAI, ex Anthropic and now co-founder of Thinking Machines.
Looking forward.
Gemini has always had exceptionally strong multimodal capabilities. Gemini 3 Pro is an incredible vision AI model and is SOTA across all main vision & multimodal benchmarks. It’s great for document, screen, image, video & spatial understanding tasks - try now in the @GeminiApp!
@danijarh@GoogleDeepMind Thanks for your awesome work at GDM, Danijar! Congrats on your fantastic achievements and journey here. Good luck on your next adventure!
At the launch event, AgiBot demonstrated the ultra-low latency teleoperation capability of the G2 robot. An operator located in Beijing successfully crossed over 2,000 kilometers (1,243 miles) to remotely demonstrate precise shooting of a balloon floating in the Shanghai studio. The first shot missed due to the constant swaying of the balloon, but the second shot was successful, showcasing the robot's high precision and low latency performance.
The funnest part about being a roboticist is that you get to play with robots and call it “work”.
Here’s Apollo w/ GR 1.5 trying to grab from my unyielding hand, like a toddler, a test of manipulation generalization. Cannot believe this is the worst humanoids will ever be!