LinkDhruv BatraResource
Batra has been a central figure in multimodal and embodied AI. His current focus on the Navigator models illustrates how specialised architectures combining UI actions and JavaScript execution compete directly with generalised frontier LLMs in digital agent tasks.
The profile documents a shift from academic and corporate research leadership to dedicated agent ventures. Yutori's Navigator project reflects the growing technical emphasis on combining multimodal perception with programmatic browser control to reliably automate complex web workflows.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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VideoVideo:AI Engineer
Dhruv Batra argues that AI agents will navigate the web via visual computer-use models rather than APIs or MCP servers. While high-traffic platforms might expose programmatic endpoints, the web's long tail of roughly 200 million active sites relies on legacy infrastructure, scanned files, and client-rendered states that only visual interaction can reliably parse.
Link:METR
METR (Model Evaluation & Threat Research) is a research non-profit that evaluates autonomous capabilities and risks posed by advanced AI systems. The organisation studies task-completion time horizons, agent monitoring, and real-world incidents involving AI agents.
Article:Peiyan Li, Yuze Zhu, Yixiang Chen, Qisen Ma, Yuan Xu, Jiabing Yang, He Guan, Yan Huang, Hongtao Wu, Xiao Ma, Tao Kong, Liang Wang, Tieniu Tan
Researchers introduce BridgeVLA++, an upgraded vision-language-action framework designed for 3D robotic manipulation. It introduces a unified spatio-temporal memory architecture into pre-trained vision-language models, enabling persistent spatial reasoning and temporal history tracking without losing data efficiency.
Link:Dyna Robotics
Dyna Robotics has launched DYNA-2, a World-Action Model (WAM) pre-trained on more than one million hours of egocentric human video. The model circumvents traditional teleoperation bottlenecks, transferring physical reasoning and action policies directly to diverse robotic hardware.
Link:Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti et al.
OpenVLA is an open-source 7B parameter vision-language-action (VLA) model designed for generalist robot manipulation. Built on Prismatic-7B and Llama 2, it was trained on 970k episodes from the Open X-Embodiment dataset and outperforms earlier generalist policies such as Octo, RT-1-X, and in several benchmarks the closed 55B RT-2-X.
Link:Rogerio Bonatti, Dan Zhao, Francesco Bonacci, et al.
Researchers from Microsoft, Carnegie Mellon University, and Columbia University have launched Windows Agent Arena (WAA), an open-source evaluation framework for multi-modal AI agents operating in native Windows 11 environments. Featuring over 150 real-world tasks, WAA supports parallel execution in Azure to shorten evaluation cycles from days to around 20 minutes. A newly introduced reference agent, Navi, attained a 19.5% success rate against human performance of 74.5%.
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