@nikhilprabhu0612496

We started with a pretty simple question: can one recorded human soccer kick become one believable robot skill? So we built MESSI: Motion Estimation for Soccer Skill Imitation. It takes a SoccerKicks penalty clip, uses the dataset’s 3D pose annotations, retargets the motion onto a Unitree G1 humanoid, and then checks the result in MuJoCo with a real ball, goal, contact, and friction. The hard part is that you can’t just copy human joints onto a robot. The bodies are different, the joint limits are different, and a kick only matters if the ball actually moves the way it should. So we used the human motion as the starting point, refined the trajectory with AMD MI300X / ROCm, and treated MuJoCo as the final test instead of just trusting a proxy metric. We also built a Goalie Lab where you can move the keeper and run a fresh physics rollout to see if the learned kick still scores.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.