Oxford Cognitive Robotics Group
@CognitiveRobots
The Cognitive Robotics Group investigates problems in perception, inference, learning, and interaction to enable robots to operate in open-ended environments.
Was dir gefallen könnte
Last week, the CRG celebrated our supervisor Lars Kunze @kula78 as he started a new position as a full professor with @BristolRobotLab. Lars will continue leading the CRG as a visiting fellow, but please join us in celebrating his new role! 🎉 Congrats, Lars!
Last week, Lars @kula78 attended the @RealAAAI Symposium on AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC) where he presented our CARLA Responsible AI Autonomous Driving Challenge. 🚗 Learn more & participate: carla-rai-challenge.github.io #CARLARAIChallenge
Can neural networks reason like pointcloud registration algorithms? Excited to share our latest paper, "NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms", with @PetarV_93, @d_d_martini, and @kula78! arxiv.org/abs/2410.11031 More info below 🤖
🚗 Exciting News! 🚗 We’re thrilled to announce the CARLA RAI Autonomous Driving Challenge! Evaluate driving agents against #responsibleAI (#RAI) indicators: carla-rai-challenge.github.io Paper: arxiv.org/pdf/2408.08584 @tas_hub @awscloud @carlasimulator @eval_ai @SteadyBits @i_m_prs
Last Friday we attended the RoboTips showcase event as a culmination of several years' effort towards responsible robotics development. Congrats @Marenka @alan_winfield @kula78 and team! Thanks for the demo @oxfordrobots Check out the project here: robotips.co.uk
Had a fantastic time at the #RoboTIPS event. Was great to see so many people from academia and industry as well as policymakers engaged in #ResponsibleRobotics. Congrats to @Marenka @alan_winfield and team! And huge thanks to @oxfordrobots for a demo on #causal #explainability!
Listening to @MichaelGroom16 giving a great talk on #safety for mobile manipulation for domestic robots at the @Dyson Institute of Engineering and Technology (dysoninstitute.com) at the AI and the Future of Engineering Symposium 2024.
Excellent talk by Dr. Jo-Ann Pattinson (@ITSLeeds) about legal implications of AI-generated evidence for motor vehicle accident disputes Last week, research fellows on our funded RAILS project attended the Trustworthy Autonomous System (TAS-R) workshop at the University of Leeds
🚗 Today at IEEE IV 2024, Samuel Sze presented his paper, "Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution" 👏 📚 Check it out here: arxiv.org/abs/2403.08748 #IV2024 #IEEE #semanticsegmentation
New RSS paper! RAG-Driver, a #MLLM that leverages in-context learning and #RAG techniques to predict vehicle control signals and generate explanations, achieving SOTA generalisability on the BDD-X set and on our new driving commentary dataset. #XAI #AutonomousVehicles #LLM
Catching @kula78's engrossing talk Making Robots Explainable and Trustworthy at the Actionable Knowledge Representation and Reasoning for Robots (AKR³) workshop #ESWC2024
Thanks @BristolRobotLab for coming to visit yesterday! We loved all the questions and discussions. It was a great chance to share highlights from our research and demonstrate some of the new robots about the lab!
At #ICRA2024? @panefimia will be at the Fields Robotics workshop presenting a poster about RobotCycle: assessing the safety of Oxford cyclists using a novel sensing unit and traffic modelling approach. Come say hi between 9am to 1pm tomorrow (13/5)! 👋 arxiv.org/abs/2403.07789
A massive effort led by @panefimia, @kula78, and our team collaborating with many others across @oxfordrobots and @oxengsci! A huge amount of time and energy has been poured into developing this 👏 Great work, everyone! #ICRA2024
On my way to #ICRA2024!! This year, we will be sharing insights on our #offroad #radar dataset (arxiv.org/abs/2403.02845), #RobotCycle (arxiv.org/abs/2403.07789), and risk-aware trajectory prediction. See you in #Japan! @oxfordrobots @CognitiveRobots @BristolRobotLab
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Was dir gefallen könnte
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