Isaac Peterson
Robotics masters student (USU) working on multi-agent reinforcement learning, high-fidelity simulation (Isaac Lab), and robot fleet coordination.
What I do
- Build large-scale robotic simulations in NVIDIA Isaac Lab
- Integrate multi-agent RL libraries for coordinated behaviors
- Apply CV and foundation models for perception + decision-making
Featured work
- HARL-A: An Extensible Benchmark Framework for Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab (IROS 2026)
- Heterogeneous Multi-Agent Learning in Isaac Lab (IROS 2025)
Quick links
- Projects: /projects/
- Publications: /publications/
- Resume: /resume/
- Contact: isaac.peterson@usu.edu