Sicong Pan

According to our database, Sicong Pan authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Safe Leaf Manipulation for Accurate Shape and Pose Estimation of Occluded Fruits.

Shaoxiong Yao, Sicong Pan, Maren Bennewitz, Kris Hauser

CoRR, 2024

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning.

Sicong Pan, Liren Jin, Xuying Huang, Cyrill Stachniss, Marija Popovic, Maren Bennewitz

CoRR, 2024

How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?

Sicong Pan, Liren Jin, Hao Hu, Marija Popovic, Maren Bennewitz

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Active Implicit Reconstruction Using One-Shot View Planning.

Hao Hu, Sicong Pan, Liren Jin, Marija Popovic, Maren Bennewitz

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

A global generalized maximum coverage-based solution to the non-model-based view planning problem for object reconstruction.

Sicong Pan, Hui Wei

Comput. Vis. Image Underst., 2023

Safe Multi-Agent Reinforcement Learning for Formation Control without Individual Reference Targets.

Murad Dawood, Sicong Pan, Nils Dengler, Siqi Zhou, Angela P. Schoellig, Maren Bennewitz

CoRR, 2023

One-Shot View Planning for Fast and Complete Unknown Object Reconstruction.

Sicong Pan, Hao Hu, Hui Wei, Nils Dengler, Tobias Zaenker, Maren Bennewitz

CoRR, 2023

Viewpoint Push Planning for Mapping of Unknown Confined Spaces.

Nils Dengler, Sicong Pan, Vamsi Kalagaturu, Rohit Menon, Murad Dawood, Maren Bennewitz

IROS, 2023

2022

A Global Max-Flow-Based Multi-Resolution Next-Best-View Method for Reconstruction of 3D Unknown Objects.

Sicong Pan, Hui Wei

IEEE Robotics Autom. Lett., 2022

SCVP: Learning One-Shot View Planning via Set Covering for Unknown Object Reconstruction.

Sicong Pan, Hao Hu, Hui Wei

IEEE Robotics Autom. Lett., 2022