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What Matters for Active Texture Recognition With Vision-Based Tactile Sensors
By evaluating our method on a previously published Active Clothing Perception Dataset and on a real robotic system, we establish that the choice of the active exploration strategy has only a minor influence on the recognition accuracy, whereas data augmentation and dropout rate play a significantly larger role.
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers
Bimanual handovers are crucial for transferring large, deformable or delicate objects.
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
Deployment of Reinforcement Learning (RL) algorithms for robotics applications in the real world requires ensuring the safety of the robot and its environment.
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