🚀 Can robots really “understand” the world?
Gemini Robotics‑ER 1.5 might be a step closer.
After reading this in-depth article from Il Sole 24 Ore:
🔗 https://lnkd.in/dR5SA9j8
…I started diving deeper into the technical foundations of Google DeepMind's Gemini Robotics‑ER 1.5 �� and what it means for the future of embodied AI.
🔍 What stood out to me:
A) The model links natural language, visual input, and spatial understanding to execute robotic tasks in the real world.
B) It’s trained in simulation, then refined in physical environments — a common strategy to close the sim-to-real gap.
📄 https://lnkd.in/dhStzGzZ
C) It shows cross-embodiment generalization, transferring skills across different robot types.
📄 Technical model card: https://lnkd.in/dVjpWz9a
D) The architecture builds on recent research integrating perception, reasoning, and action:
📄 Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
https://lnkd.in/dc-AVdFq
E) Planning can be supported by external tool use (e.g. web search), enabling decisions grounded in real-world context.
📄 RobotxR1: Enabling Embodied Robotic Intelligence on LLMs through Closed-Loop Reinforcement Learning
https://lnkd.in/djtGSp7B
⚠️ But several open challenges remain:
1) The sim-to-real gap is still a fundamental issue in robotics
📄 A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
https://lnkd.in/dN9uyntr
2) Safety and alignment are critical when real-world physical actions are involved
📄 Towards ASIMOV Benchmarks: Evaluating Safety, Alignment, and Value Alignment in Embodied Agents
https://lnkd.in/dNMY286q
3) Generalization across unseen environments, occlusions, or failure modes still lacks strong guarantees
4) Hardware (sensors, actuators) can limit the practical performance of intelligent agents
💬 From my perspective, Gemini‑ER 1.5 is an exciting direction. It's a real-world testbed for the convergence of LLMs, robotics, and multimodal perception, but we’re still early in the journey toward deployable, general-purpose embodied intelligence.
What do you think, how far are we from reliable, useful robots that can act safely and adaptively in dynamic environments?
This is a great read Silvio Savarese! Robotics is definitely the next wave in the evolution of generative AI.