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Topic Robotics
3 articles
AI DevelopmentIsaac Sim Is Not Just a Heavyweight Unity — 4 Decisive Reasons to Move Beyond ML-Agents
Isaac Sim and Unity ML-Agents both support reinforcement learning, but differ greatly in architecture and robotics focus. This article compares GPU parallelism, contact physics, domain randomization, sensor simulation, and ROS 2/URDF/USD integration, while showing where Unity still excels.
AI DevelopmentWhat Is Reinforcement Learning? What Was Happening Behind That “Extra-Dimensional Fight”?
Using our NVIDIA Isaac Sim robot sumo experiment, this article explains reinforcement learning through state, action, environment, reward, and trial and error. It also shows how RL differs from supervised learning and why the robots discovered lariats, folded arms, and aerial attacks.
AI DevelopmentWe Taught Robots "Sumo"—and They Mastered Lariats, Cossack Dancing, and Aerial Combat
We trained two robots to fight sumo in NVIDIA Isaac Sim and tracked their evolution from Epoch 1 to 100. The experiment explores reinforcement learning, Sim-to-Real, domain randomization, and the unexpected strategies the AI discovered—from lariats and kicks to low stances and aerial combat.
