Robotic helper making mistakes? Just nudge it in the right direction
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
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New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore…
MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.
MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data.
Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.
A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents…
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.