A two-stage DRL method with a supervised collision prediction stage improves collision-free success rates on object-goal visual navigation tasks in simulation and real rooms.
Tdanet: Target-directed attention network for object-goal visual navigation with zero-shot ability
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Collision-Aware Object-Goal Visual Navigation via Two-Stage Deep Reinforcement Learning
A two-stage DRL method with a supervised collision prediction stage improves collision-free success rates on object-goal visual navigation tasks in simulation and real rooms.