Collaborative #Robotics is the next frontier! The last few decades have focused on robotic autonomy, and we have seen some amazing things. But it's time for #Robotics to get to the hard tasks, less gimmicks, and more practical assistance and teammate understanding.
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#GaussianSplat are a fantastic new tool to visually represent a scene. By combining them with language models and semantics #Robots can perform manipulation tasks on command. Read more here: splatmover.github.io
#Robotics #Nerfs #research

Humans grasp objects from flat surfaces using a variety of methods: tapping, fingernail, pinch. Can #Robotics do the same? Check out our nominated best paper DenseTact-mini in #icra2024 that explores this: sites.google.com/view/denseta...

#Robotics can greatly improve #Prosthetics by endowing them with intelligence through advanced situational awareness and human intent estimation. Our work "ProACT: An Augmented Reality Testbed for Intelligent Prosthetic Arms" presents a virtual tested and control methods arm.stanford.edu/proact

Can a wearable sensor predict where you might walk? We present "Egocentric Scene-aware Human Trajectory Prediction" predicting someone's path from a front facing camera leveraging semantic information in the scene, learn more here: mmego.weizhuowang.com