IsaacSim

IsaacSim is a simulation platform that contains high-fidelity models for evaluating the performance of aerial robots in navigation tasks, specifically in the context of object-goal navigation.

Papers using IsaacSim (11)

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills2025 · 2 citesSIMPLE: Simulation-Based Policy Learning and Evaluation for Humanoid Loco-manipulation2026Optimal Knock-Pick Planning for Tightly Packed Tabletop Blocks With Parallel Grippers2026Virtues of Ordered Chaos: Planning with Topple Actions in Tabletop Stack Rearrangement2026An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack2026GenerativeMPC: VLM-RAG-guided Whole-Body MPC with Virtual Impedance for Bimanual Mobile Manipulation2026RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation2026AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning2026CENIC: Convex Error-controlled Numerical Integration for Contact2025DeGrip: A Compact Cable-driven Robotic Gripper for Desktop Disassembly2025UniFucGrasp: Human-Hand-Inspired Unified Functional Grasp Annotation Strategy and Dataset for Diverse Dexterous Hands2025