i love robots 🇱🇰 | @HongKongPolyU @UWMadison
Hong Kong
Joined August 2022
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Ran molmoact2 zero shot on SO101! And it is my first policy on the robot.
I added support on Lerobot to spin up molmoact2 on a VM since I did not have the capability to run the model on my client machine.
github.com/sashenkagamage/le…
@allen_ai @DJiafei @hq_fang
really liked ramith aiya’s idea to do this, so wanted to try something fancy as well.
i was reading about world models and decided to make a slide deck for @NVIDIARobotics DreamZero — paper “World Action Model are Zero-shot Policies”
sashenkagamage.github.io/fun…
did a group presentation today with @3blue1brown's manim style transitions. Sharing the template for anyone to build upon
Brought to life with @NarekMaloyan's manim-web + reveal.js + claude + codex
view template: slides.ramith.fyi
view repo: github.com/ramithuh/protein-…
Sashenka Gamage retweeted
I wrote a blog post detailing the writing approach I took while working on my recent paper: sophielwang.com/blog/paper-w…
I describe the behind the scenes for how this paper came to be, why and how I storyboarded figures before running experiments, and some figure design tips! :)
Can “chicken” make a base model reason? 🐔
Yes!
Why? With the right first tokens, base models can match RL in reasoning. We trace this to learned training data associations and use a simple data edit to make “chicken” elicit reasoning too.
blog: sophielwang.com/cues
Sashenka Gamage retweeted
Lecture videos, notes/slides, assignments, and code for the Planning & Control module of Intro to Robotics @Princeton are up:
youtube.com/@intro-to-roboti…
irom-lab.princeton.edu/intro…
Next up: estimation and SLAM. I'll build up from the basics (Bayes filter, particle filter) to VGGT.
Sashenka Gamage retweeted
A huge Badger congratulations to @UWMadison physics professor Francis Halzen, who won a #NobelPrize for his work as principal investigator of the Ice Cube Neutrino Observatory. Learn more about the world’s largest telescope here.
onwisconsin.uwalumni.com/an-… via @onwismag
Sashenka Gamage retweeted
Long-Horizon Adaptive Manipulation Planning (LAMP) helps robots plan not only where an object needs to go, but also how they can work together to get it there🤖🤝
MSR student and project co-lead Shuai Zhou presented this research at #IROS2026 yesterday!
ri.cmu.edu/lamp-helps-robots…
Sashenka Gamage retweeted
i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life!
it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick
meanwhile: me thinking of doing a phd
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
tried @NVIDIARobotics issac sim with the SO-101, finally got a machine to run the issac sim.
love this!!!!!!!!
Train in sim. Run it for real. Teach it new tricks. 🦆
This is the sim2real loop that powers Microduck.
RL stack open source here : github.com/pollen-robotics/m…
Buy it here : pollen-robotics.com/microduc…
Git : github.com/pollen-robotics/m…
Join our community : discord.com/invite/pollen-co…
Sashenka Gamage retweeted
I HAVEEEE SOOOO MANYYY QUESTIONNNNSSSS;
The wait is over! Meet Arduino VENTUNO Q, where AI takes action.
💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board
🧠 NPU + CPU + GPU +MCU: @Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control
🗄️ 16 GB RAM + 64 GB eMMC + expandable storage
🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS
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💨 Move seamlessly from prototype to production through Works with Arduino Certification Program
The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI: arduino.cc/product-ventuno-q