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A new high-quality dataset to train robotics algorithms on textile manipulation tasks
Many industrial processes and household tasks currently completed by humans entail the manipulation of textiles, including ...
Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new AI system developed by researchers at ...
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China’s soft bending sensor gives humanoid robot hand sense of its own posture
Researchers in China have demonstrated a humanoid dexterous hand that gives robot fingers a ...
Robotic manipulation and grasping techniques have evolved rapidly to address intricate tasks in unstructured environments. Recent advances integrate artificial intelligence with classical control to ...
A fusion strategy based on deep reinforcement learning that integrates the abilities of doctors and robots to address position-based soft tissue deformation manipulation tasks. All three proposed ...
Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...
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