Using Large Language Models (LLMs) to produce robot programs from natural language has allowed for robot systems that can complete a higher diversity of tasks. However, LLM-generated programs may be faulty, either due to ambiguity in instructions, misinterpretation of the desired task, or missing information about the world state. As these programs run, the state of the world changes and they gather new information. When a failure occurs, it is important that they recover from the current world state and avoid repeating steps that they they previously completed successfully. We propose RoboRepair, a system which traces the execution of a program up until error, and then runs an LLM-produced recovery program that minimizes repeated actions. To evaluate the efficacy of our system, we create a benchmark consisting of eleven tasks with various error conditions that require the generation of a recovery program. We compare the efficiency of the recovery program to a plan built with an oracle that has foreknowledge of future errors.

Legion Technologies, the pioneer in AI-powered workforce management, announced the availability of the Legion Rapid Recovery Program, a no-cost service that helps companies quickly recover from the recent UKG Private Cloud ransomware attack. This new Program allows UKG Private Cloud customers to resume the accurate capture of employee time clocks and re-start communications with their frontline employees – within 48 hours – eliminating the need for manual timekeeping processes and enabling them to ensure their frontline employees can get paid, accurately and on time. "Ransomware attacks affect more than just the organizations that are targeted. Hourly employees also suffer, as they inevitably worry about the impact an attack will have on their ability to get paid," said Michael Spataro, Chief Delivery Officer for Legion Technologies. "As Legion's mission is to turn hourly jobs into good jobs, and improve the lives of hourly employees, we wanted to help everyone impacted by the recent ransomware attack on UKG Private Cloud customers – hourly employees, their managers, and their employers. With the new Legion Rapid Recovery Program, they can resume operations within 24-48 hours."

Sports injury startup Fathom AI has launched Fathom Pro, a wearable sensor-based system aimed at reducing injuries resulting from running and providing recovery exercises based on biometric feedback. Fathom Pro uses three compact sensors, each the size of a quarter, that the user places on their lower back and just above each ankle. These sensors collect movement and force data and then send it to the Fathom app. The data is then analyzed in the app using human movement research and recovery best practices to find imbalances in the users' running form. The Fathom AI app then identifies ways the user may be compensating for weak musculature or limited mobility.