3 accepted papers
Reinforcement learning (RL) has enabled robots to develop complex skills, but its success in image-based tasks often depends on effective representation learning. Prior works have primarily focused on 2D representations, often overlooking the inherent 3D geometric structure of the world, or have att…
Reinforcement learning (RL) has enabled robots to develop complex skills, but its success in image-based tasks often depends on effective representation learning. Prior works have primarily focused on 2D representations, often overlooking the inherent 3D geometric structure of the world, or have att
Chasing a dynamic target in a dense environment is one of the challenging applications of autonomous drones. The task requires multi-modal data, such as RGB and depth, to accomplish safe and robust maneuver. However, using different types of modalities can be difficult due to the limited capacity of