The Future of Foundation Models in Robotics
Exploring how large language models and vision-language models are revolutionizing the way robots understand and interact with the world.
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Insights and thoughts on artificial intelligence, robotics, and the future of intelligent systems. 6 posts and counting.
From Simulation to Reality: Bridging the Sim2Real Gap
A deep dive into techniques for transferring learned policies from simulation to real-world robotic systems, including domain randomization and reality gap analysis.
Read moreDiffusion Models: Not Just for Images Anymore
How diffusion models are being adapted for robotic manipulation, grasp synthesis, and motion planning with impressive results.
Read moreMulti-Agent Systems: Lessons from Warehouse Automation
Real-world insights from deploying multi-agent coordination algorithms in warehouse robotics, including challenges and solutions.
Read moreVisual SLAM in 2024: What's Changed?
An overview of the latest advances in visual SLAM, including the integration of deep learning and semantic understanding.
Read moreBuilding Robust Robot Perception with Foundation Models
Leveraging models like SAM, CLIP, and DINO for robust object detection and scene understanding in challenging robotics scenarios.
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