Goal-Oriented Long-Lived Systems
The Goal-Oriented Long-Lived Systems (GOALS) Lab performs research around the problems of behaviour generation for autonomous systems. In particular we focus on long-term autonomy and task and mission planning for mobile robots which must operate for extended periods (days, weeks or months) in dynamic, uncertain environments. To create long-term autonomous behaviour we explore the application of artificial intelligence techniques to robots, particularly planning under uncertainty and machine learning, such that the longer robots act in an environment, the better they perform.
RT @HumanLibraryEng: We have been watching Robots take over the world for years in the movies. But what is the reality? Why are robots impo…
RT @Alphillips200: @NOCnews Boat team recovering @NOCnews' @EcosubL #oceanrobot after a successful #HUDSON mission harvesting data from @Un…
RT @Robotic_ESP: Marlin @marlinpolo has submitted a journal paper on asymmetric bidirectional planning to IJRR. We're happy to provide its…
RT @turinginst: UK-based doctoral student interested in gaining commercial experience in a business setting, please check our page and appl…
RT @MarcRigter: The preprint for our #NeurIPS2021 paper "Risk-Averse Bayes-Adaptive Reinforcement Learning" is now available! https://t.co/…
RT @hawesie: Here's your reminder that I'll be giving the @TheIET / @taros2021 public lecture tonight at 18:00 via https://t.co/WrRi18vvOm…
RT @mo_baioumy: Next week @iwai_ws, I will be presenting our papers on 1) stochastic fault-tolerant control and 2) planning under uncertai…
RT @hawesie: Today, @PembrokeOxford / @oxengsci undergrad Alex Rutherford gave an excellent presentation for his ECMR '21 paper. He did the…
RT @d_d_martini: Great week spent @UofGSciEng working with @GuodongZhao4 and his team. The first trial of pure-#5G teleoperation of a @clea…