Awards & Recognition

Recipients:

Chengkun Li, Haozhe Qi, Alexander Mathis

Winner of the Open-Vocabulary 3D Affordance Grounding track at the CVPR 2026 OpenSUN3D Challenge. The team combined multi-view 3D representations with language-aligned grounding to localize affordances across diverse scenes.

Recipients:

Servette MyoClub (Chengkun Li, Merkourios Simos, Bianca Ziliotto, Alexander Mathis)

Towards Human Athletic Intelligence — winning submission at NeurIPS 2025 MyoChallenge. The team presented a muscle-actuated control approach that achieved soccer penalty kicks.

Recipients:

Mackenzie and Alexander Mathis

Honored for groundbreaking contributions to the intersection of neuroscience and artificial intelligence

Recipients:

Merkourios Simos

Received for his Master's thesis in the lab on imitation learning

Recipients:

Mackenzie W. Mathis and Alexander Mathis

For uncovering the theoretical and neural basis of mechanisms underlying adaptive behaviour in intelligent systems. They developed the first animal pose estimation computer vision tool that requires little user input data.

Recipients:

Team Lattice (Alessandro Marin Vargas, Alberto Chiappa, Alexander Mathis)

Through the application of curriculum learning, reward shaping, and Lattice-driven exploration, they successfully trained a policy to control a biologically-realistic arm equipped with 63 muscles and 27 degrees of freedom.

Recipients:

Alberto Chiappa, Nisheet Patel, Pablo Tano, Alexandre Pouget, Alexander Mathis

Winning solution for the inaugural NeurIPS MyoChallenge. See the Neuron paper discussing the solution and implications for biological motor control.