Simeon ADEBOLA
1.9K posts
@funmilore
Knowledge Enthusiast, Book Lover. Current: PhD Student Doing Robotics @UCBerkeley @berkeley_ai @AUTOLab_Cal
🤖How well do today's VLMs actually understand real-world robotics? 👀 Excited to share RoboVista at #RSS2026 — a systematic evaluation and benchmark for VLMs across diverse, real-world robot applications. Website, dataset and paper: berkeleyautomation.github.io/robovista/ Developed by researchers at @UCBerkeley, @GoogleDeepMind, and @Princeton. 🧵👇
🤖How well do today's VLMs actually understand real-world robotics? 👀 Excited to share RoboVista at #RSS2026 — a systematic evaluation and benchmark for VLMs across diverse, real-world robot applications. Website, dataset and paper: berkeleyautomation.github.io/robovista/ Developed by researchers at @UCBerkeley, @GoogleDeepMind, and @Princeton. 🧵👇
Autoresearch just left the sandbox and entered the embodied world. We are excited to introduce 𝐄𝐍𝐏𝐈𝐑𝐄: a system that drops frontier coding agents onto a fleet of real robots and hands them the entire loop: reset the environment → search the literature → implement ideas and build the infra → train and deploy → self-verify → analyze the logs and rewrite the code → repeat, until the policy is reliable in the real world. No human in the loop. Guided only by the robot's self-proposed, heuristic-based success signal, the agents hill-climb to 99% on dexterous real-world tasks: organizing pins into a box, seating GPUs, tying zip-ties. We envision the bottleneck in robotics shifting — from building smarter algorithms to building the closed physical feedback loops an agent can finally turn on its own. 🔗 research.nvidia.com/labs/gear/enpi… From @NVIDIA @CMU_Robotics @Berkeley_AI 🧵
Join us this week at #ICRA2026 on Community Building Day for the Robotics in Africa Forum. Date: Thursday, June 4 Time: 10:00am-12:00pm Location: Schubert 2 at the VIECON (First Floor), Vienna sites.google.com/view/community…
The Summer ’26 issue of Berkeley Engineer magazine is here! Our cover story centers on how Professor @Ken_Goldberg is redefining robot manipulation with creativity and code. Read the issue: engineering.berkeley.edu/magazine
Our new work, STITCH 2.0, can perform consecutive running sutures to close a sample wound with the daVinci robot.
Robotics: coding agents’ next frontier. So how good are they? We introduce CaP-X: an open-source framework and benchmark for coding agents, where they write code for robot perception and control, execute it on sim and real robots, observe the outcomes, and iteratively improve code reliability. From @NVIDIA @Berkeley_AI @CMU_Robotics @StanfordAILab capgym.github.io 🧵
When people share a space, their movements become intertwined. Embodied agents need to understand these social dynamics to interact effectively. Introducing MAGNet 🧲, a unified autoregressive diffusion forcing model for multi-agent motion generation that captures these interactions. MAGNet is flexible: predict the future, fill in missing motion, or have people react to each other, all while naturally scaling to N>2 people and generating ultra-long motion sequences.
