Aerial GRIPPER: A Gradient-based Real-time Inverse-game Predictor and Planner

arXiv:2609.34594 · cs.RO · Submitted 2026-09-28 · Read on arXiv

cs.RO

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Nash Equilibrium — 32× in this paper · explained in 2 episodes
• Accuracy — 17× in this paper · explained in 1 episode
• Objective Function — 9× in this paper · explained in 2 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Closed-Loop System — 5× in this paper · explained in 4 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Adversarial scenarios — 2× in this paper · explained in 1 episode
• Cooperation — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Lyapunov function — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Model Predictive Control (MPC) — 1× in this paper · explained in 5 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• PID Controller — 1× in this paper · explained in 2 episodes
• Quadratic Programming (QP) — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Whole-Body Integrated Motion Planning for Aerial Manipulators
• Learning to Plan Maneuverable and Agile Flight Trajectory with Optimization Embedded Networks
• Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy

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