In the future, PRoC3S could help robots complete more intricate chores in dynamic environments like houses, where they may be prompted to do a general chore composed of many steps (like "make me breakfast").
ROBOTICS
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Advancing Robot Learning with Enhanced Physics Simulators
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For future work, the researchers aim to improve results using a more advanced physics simulator, & to expand to more elaborate longer-horizon tasks via more scalable data-search techniques. They also plan to apply PRoC3S to mobile robots (such as quadrupeds) for tasks that
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CSAIL Engineers Teach Robotic Arm Task Planning with PRoC3S
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Next, the CSAIL engineers brought their approach to the real world. Their method developed & executed plans on a robotic arm, teaching it to put blocks in straight lines.
— MIT CSAIL (@MIT_CSAIL) 12 décembre 2024
PRoC3S also enabled the machine to place blue & red blocks into matching bowls & move all objects near the… pic.twitter.com/579KOT0ChmNext, the CSAIL engineers brought their approach to the real world. Their method developed & executed plans on a robotic arm, teaching it to put blocks in straight lines. PRoC3S also enabled the machine to place blue & red blocks into matching bowls & move all objects near the
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PRoC3S Successfully Demonstrates Drawing and Block Stacking Tasks
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In simulations, PRoC3S successfully drew stars & letters 8/10 times each. It also could stack digital blocks in pyramids & lines, & place items w/accuracy, like fruits on a plate.
— MIT CSAIL (@MIT_CSAIL) 12 décembre 2024
Across each of these digital demos, the CSAIL method completed the requested task more… pic.twitter.com/lW9Q1HC0MpIn simulations, PRoC3S successfully drew stars & letters 8/10 times each. It also could stack digital blocks in pyramids & lines, & place items w/accuracy, like fruits on a plate. Across each of these digital demos, the CSAIL method completed the requested task more
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Teaching Robots Safe Task Execution Using Vision and LLMs
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Can we teach a robot its limits to do chores safely & correctly? 🧵
— MIT CSAIL (@MIT_CSAIL) 12 décembre 2024
To help robots execute open-ended, multi-step tasks, MIT CSAIL researchers used vision models to see what’s near the machine & model its constraints. An LLM sketches up a plan that’s checked in a simulator to… pic.twitter.com/u5HyfQwUicCan we teach a robot its limits to do chores safely & correctly? To help robots execute open-ended, multi-step tasks, MIT CSAIL researchers used vision models to see what’s near the machine & model its constraints. An LLM sketches up a plan that’s checked in a simulator to
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PRoC3S: Robot Planning Via Code for Constraint Satisfaction
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Their trial-&-error method is called "Planning for Robots via Code for Continuous Constraint Satisfaction" (PRoC3S). It tests long-horizon plans to ensure they satisfy all constraints & enables a robot to perform diverse tasks, like writing individual letters, drawing a star, &
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AI-powered border surveillance towers and autonomous drones
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D’abord, des tours de surveillance équipées d’IA le long de la frontière américano-mexicaine. Ces tours pouvaient distinguer les humains, les animaux et les véhicules.
Ensuite, leurs systèmes autonomes : Le drone Ghost pouvait voler plus de 15 heures, et l’Anvil traquait et -
Lattice OS: AI system for real-time battlefield perception and autonomy
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Lattice OS : Un système d’IA qui traite des données provenant de multiples capteurs, créant une vision en temps réel du champ de bataille et permettant aux systèmes autonomes de fonctionner harmonieusement. Les sous-traitants de défense traditionnels ne pouvaient pas rivaliser.
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AmbiRobotics Achieves 500 Sorts Per Hour Speed Milestone
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In 2024, @AmbiRobotics “increased avg speed to 500 sorts per hour and brought its sort accuracy to 99.6%. For context, in 2022 their machines were at 355 sorts per hour and in 2023 they were at 410.”
