activity
20182026
most citedLightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection

20 citations · 22 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

The Curse of Precision: A Data Scaling Law for High-Precision Robotic Manipulation

Cuijie Xu, Yuanfan Xu, Min Xue +5

While scaling laws for imitation learning have primarily focused on generalization in open-world settings, the relationship between data and precision in closed-world tasks like ro…

cs.RO2024

Virtualization & Microservice Architecture for Software-Defined Vehicles: An Evaluation and Exploration

Long Wen, Markus Rickert, Fengjunjie Pan +4

The emergence of Software-Defined Vehicles (SDVs) signifies a shift from a distributed network of electronic control units (ECUs) to a centralized computing architecture within the…

cs.RO2024

Gassidy: Gaussian Splatting SLAM in Dynamic Environments

Long Wen, Shixin Li, Yu Zhang +5

3D Gaussian Splatting (3DGS) allows flexible adjustments to scene representation, enabling continuous optimization of scene quality during dense visual simultaneous localization an…

cs.SE2024

Automatic Platform Configuration and Software Integration for Software-Defined Vehicles

Fengjunjie Pan, Jianjie Lin, Markus Rickert

In the automotive industry, platform configuration and software integration are mostly manual tasks performed during the development phase, requiring consideration of various safet…

cs.RO2021

Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization

Jianjie Lin, Markus Rickert, Alois Knoll

Grasp planning for multi-fingered hands is still a challenging task due to the high nonlinear quality metrics, the high dimensionality of hand posture configuration, and complex ob…

cs.CV2021★ 20 cited

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

Hu Cao, Guang Chen, Zhijun Li +2

The method of deep learning has achieved excellent results in improving the performance of robotic grasping detection. However, the deep learning methods used in general object det…

cs.RO2018★ 2 cited

Oscillation Damping Control of Pendulum-like Manipulation Platform using Moving Masses

Min Jun Kim, Jianjie Lin, Konstantin Kondak +2

This paper presents an approach to damp out the oscillatory motion of the pendulum-like hanging platform on which a robotic manipulator is mounted. To this end, moving masses were…