Human-robot collaborative transportation is crucial for expanding robot abilities in smart manufacturing, requiring robots to recognize and follow human intentions while alleviating the human load and ensuring safety. To address this issue, a collaborative framework is proposed that integrates a collaborative controlle...
Ning Wang, Tian-Wei Zhang· IEEE Transactions on Automat...· 0 citations
Grasping strategies based on preset thresholds or end-to-end learning often struggle to generalize to unfamiliar objects with diverse shapes, compliance, weights, or surface properties. Adaptive grasping of unstructured objects can be framed as a trade-off between excessive squeezing and unintended slippage, where accu...
Han-Ming Yan, Wan-Er Lin, Ya-Yi Shen et al.· International Conference on...· 0 citations
: Light Detection and Ranging (LiDAR)–Inertial Odometry (LIO), which tightly fuses complementary data from LiDAR and Inertial Measurement Units (IMUs), is a key technology for high-precision state estimation in legged robot navigation. However, conventional Iterative Closest Point (ICP)-based LIO frameworks provide onl...
