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Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection.

, , , , and . CoRR, (2021)

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Parameterizable and Jerk-Limited Trajectories with Blending for Robot Motion Planning and Spherical Cartesian Waypoints., , and . ICRA, page 13982-13988. IEEE, (2021)PCTMA-Net: Point Cloud Transformer with Morphing Atlas-based Point Generation Network for Dense Point Cloud Completion., , , and . IROS, page 5657-5663. IEEE, (2021)LieGrasPFormer: Point Transformer-Based 6-DOF Grasp Detection with Lie Algebra Grasp Representation., , and . CASE, page 1-7. IEEE, (2023)Deep Hierarchical Rotation Invariance Learning with Exact Geometry Feature Representation for Point Cloud Classification., , and . ICRA, page 9529-9535. IEEE, (2021)Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles., , , , and . IV, page 1-8. IEEE, (2023)Residual Squeeze-and-Excitation Network with Multi-scale Spatial Pyramid Module for Fast Robotic Grasping Detection., , , , and . ICRA, page 13445-13451. IEEE, (2021)Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization., , and . CASE, page 879-884. IEEE, (2021)Knowledge-Augmented Anomaly Detection in Small Lot Production for Semantic Temporal Process Data., , , , and . ETFA, page 1-8. IEEE, (2023)6D Pose Estimation for Flexible Production with Small Lot Sizes based on CAD Models using Gaussian Process Implicit Surfaces., , and . IROS, page 10572-10579. IEEE, (2020)Automated Design Space Exploration for Resource Allocation in Software-Defined Vehicles., , , and . IV, page 1-8. IEEE, (2023)