We’re teaching robots to mimic human behavior, but what if the real breakthrough is teaching them to be authentically robotic? Maybe the gap exists because we’re forcing machines to pretend to be us instead of letting them develop their own interaction paradigms.
#Robotics#AI
The next breakthrough in AI won’t come from larger models or more data, it’ll come from algorithms that learn like toddlers: through curiosity, play, and a healthy disregard for efficiency.
#MachineLearning#AI#Robotics
#ReinforcementLearning in the wild: After implementing RL algorithms in real robotic systems, I’ve learned that lab success ≠ real-world success. The gap? Environmental unpredictability. The solution? Building algorithms that embrace uncertainty rather than perfect conditions
Only three things matter in perception — frame rate, acuity and dynamic range in a given unit of time.
LiDAR has none.
Thus, it’s hopeless for a robot using LiDAR to perform any delicate work.
How can we close the Robot “Data Gap”? Thoughts from Prof Ken Goldberg, plus opportunities to exhibit/showcase at CASE, SF Deep Tech Week (and amazing party on the USS Hornet) and the Hard Tech Venture Summit.
ow.ly/35r250W5PEk
🚀 Get ready! #ICRA2025 kicks off tomorrow with the first day of Workshops & Tutorials. Prepare for an exciting week of robotics innovation, keynotes, and networking.
🔗 Check out the full program here: loom.ly/10o129k
🤖✨ We are just ONE WEEK away from being together at #ICRA2025!
⌛It's not too late to register! Hurry, current registration rates end on Saturday, May 17. Learn more here: loom.ly/8AZaHQA
🤖Humanoid robots are not exclusively for big companies. Here is what a few people can do.
👉Introducing Mobile-TeleVision, built upon our previously open-sourced immersive teleop system: Open-TeleVision.
Introducing Willow, our new state-of-the-art quantum computing chip with a breakthrough that can reduce errors exponentially as we scale up using more qubits, cracking a 30-year challenge in the field. In benchmark tests, Willow solved a standard computation in <5 mins that would…
Teleoperation isn’t a curse word; it’s a step toward autonomy.
OpenAI began robotics work in 2017 but later disbanded it due to challenges in data collection, while other domains were more readily available. Generalized robotics is a much harder data-engine problem than LLMs.
Robots are learning to personalize household tasks, like tidying up, based on your preferences.
Using just a few examples, this system, developed by a team from Princeton, can figure out where you like things—like putting shirts in drawers or on shelves—by combining…
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