Grateful to UF News for covering our research! AI with attitude? Engineering professor explores how AI performs in high-risk situations
news.ufl.edu/2026/10/llm-ris…
Excited to share that our paper “Benchmarking Risk Attitudes of Large Language Models” has been accepted to #NeurIPS2026! 🎉
Congrats to co-first authors Bowen Sun & Rui Min, and many thanks to collaborators Ryan Wang & Yang Ye!
#LLM #AI #DecisionMaking
My 12 yo son recreated a video game (Neighbors) in one week.
He taught himself Blender, Unity, and C# from online tutorials, and programmed the NPC AI himself.
He said free ChatGPT wasn’t helpful for coding, so he did it on his own.
Check it out: youtu.be/AjxtPCzL8Ec?si=b4Di…
Eric Du retweeted
A robotics team from The Frazer School will compete this weekend in Alachua, showcasing what they've learned about applying remote sensing and AI to archaeology. alachuachronicle.com/north-f…
New paper out in Scientific Reports: “Opportunities, Challenges & Roadmap for Humanoid Robots in Construction.”nature.com/articles/s41598-0…
We outline a 10-year path for humanoids in construction.
Can LLMs pick the right priority for UAVs in urban winds? Yes! Our new IEEE Access paper “LLM-Driven Pareto-Optimal Multi-Mode RL for Adaptive UAV Navigation” shows 16% faster flights, 50% fewer collisions, 18% energy savings. ieeexplore.ieee.org/document… #AI #Drones #RL #UAV
Grateful to the Buildings Best Paper Award committee for recognizing our work! 🎉
Congrats to my students 👏 for advancing LLM-driven sequence planning that helps robots adapt to complex, dynamic construction tasks. Proud of the team! 🚀 #ConstructionRobotics #AI
#2023BPA #bestpaper
5️⃣ Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT, by Hengxu You et al.
⭐ Keywords: #robotassembly; #sequentiallearning; #ChatGPT
🔗 Read for free at: mdpi.com/2384148
Our new paper, "AI Generations: from AI 1.0 to AI 4.0," is out now! We map the evolution of AI from Information AI (1.0) to Agentic (2.0), Physical (3.0), and a speculative look at Conscious AI (4.0). A 70-year journey of algorithms, data, and compute. frontiersin.org/journals/art…
Eric Du retweeted
🌟 #EditorsChoice 🌟
Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT by Hengxu You, Yang Ye, Tianyu Zhou, Qi Zhu and Jing Du
🔗 Read for free at: mdpi.com/2384148
#robotassembly #ChatGPT
Eric Du retweeted
🚀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝘀 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗟𝗲𝗮𝗽 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴—𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗛𝗶𝘁𝗰𝗵𝗵𝗶𝗸𝗲𝗿'𝘀 𝗚𝘂𝗶𝗱𝗲 𝗬𝗼𝘂’𝘃𝗲 𝗕𝗲𝗲𝗻 𝗪𝗮𝗶𝘁𝗶𝗻𝗴 𝗙𝗼𝗿! 🚀
We're thrilled to share our most comprehensive, 128-page survey, "𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴: 𝗙𝗿𝗼𝗻𝘁𝗶𝗲𝗿𝘀 𝗮𝗻𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀," developed collaboratively by 23 institutions, including universities like #TAMU, #UCRiversie, #Purdue, #UMich, #UFL, hashtag#ASU, #Columbia, #Stanford, etc., and industry leaders such as #NVIDIA, #Bosch, #TTI, #Adobe, to name a few.
🔥 This isn't merely another overview; it’s an in-depth exploration that synthesizes breakthroughs, analyzes state-of-the-art technologies, and charts a clear, detailed roadmap for the future of autonomous driving and intelligent mobility.
🧩 𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗱𝗲𝗲𝗽𝗲𝗿 𝗹𝗼𝗼𝗸 𝗶𝗻𝘁𝗼 𝘄𝗵𝗮𝘁 𝘄𝗲’𝘃𝗲 𝗰𝗼𝘃𝗲𝗿𝗲𝗱:
🔹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Clear overview of VAEs, GANs, Diffusion Models, NeRF, and LLMs.
🔹 𝗖𝘂𝘁𝘁𝗶𝗻𝗴-𝗘𝗱𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴: 𝘚𝘦𝘯𝘴𝘰𝘳 𝘋𝘢𝘵𝘢 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯; 𝘛𝘳𝘢𝘫𝘦𝘤𝘵𝘰𝘳𝘺 𝘢𝘯𝘥 𝘔𝘰𝘵𝘪𝘰𝘯 𝘗𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘰𝘯; 𝘖𝘤𝘤𝘶𝘱𝘢𝘯𝘤𝘺 𝘢𝘯𝘥 𝘚𝘤𝘦𝘯𝘦 𝘜𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨; 𝘚𝘤𝘦𝘯𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘊𝘶𝘴𝘵𝘰𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯.
🔹 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: 𝘌𝘯𝘥-𝘵𝘰-𝘌𝘯𝘥 𝘈𝘶𝘵𝘰𝘯𝘰𝘮𝘰𝘶𝘴 𝘚𝘺𝘴𝘵𝘦𝘮𝘴; 𝘚𝘺𝘯𝘵𝘩𝘦𝘵𝘪𝘤 𝘋𝘢𝘵𝘢 𝘞𝘰𝘳𝘬𝘧𝘭𝘰𝘸; and 𝘋𝘪𝘨𝘪𝘵𝘢𝘭 𝘛𝘸𝘪𝘯𝘴 𝘢𝘯𝘥 𝘚𝘮𝘢𝘳𝘵 𝘛𝘳𝘢𝘯𝘴𝘱𝘰𝘳𝘵𝘢𝘵𝘪𝘰𝘯 𝘕𝘦𝘵𝘸𝘰𝘳𝘬𝘴.
🔹 𝗕𝗿𝗼𝗮𝗱𝗲𝗿 𝗜𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗘𝗺𝗯𝗼𝗱𝗶𝗲𝗱 𝗔𝗜 𝗮𝗻𝗱 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀: Cross-domain transfer methods for robotics and drones, to Embodied AI, and more.
🔹 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗻𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀: generalization, safety, ethics, environment, and regulation. Strategic research paths in theoretical assurances, trust metrics, V2X cooperation, and urban integration.
🔹 𝗙𝘂𝘁𝘂𝗿𝗲 𝗢𝘂𝘁𝗹𝗼𝗼𝗸 𝗮𝗻𝗱 𝗩𝗶𝘀𝗶𝗼𝗻: dataset diversity, model robustness, theoretical foundations, computational scalability, human-AI collaborative frameworks.
📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝘀𝘂𝗿𝘃𝗲𝘆: arxiv.org/abs/2505.08854
🔗 E𝘅𝗽𝗹𝗼𝗿𝗲 𝗰𝗼𝗱𝗲: lnkd.in/gvcZh3Ka
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝘀 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗳𝘂𝘁𝘂𝗿𝗲 𝘁𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁𝗮𝘁𝗶𝗼𝗻. Our detailed survey equips 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀, 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀, 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗹𝗲𝗮𝗱𝗲𝗿𝘀, 𝗮𝗻𝗱 𝗽𝗼𝗹𝗶𝗰𝘆𝗺𝗮𝗸𝗲𝗿𝘀 with the tools to navigate this transformative intersection.
🌟 The future of mobility is 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲. Let’s build it together! 🌟
#GenAI #AutonomusDriving #Autonomy #Drone #USDOT #USA #Diffusion #LLM #VLM #Collaboration #Research #Innovation #AI #CVPR #Publication #Overview























