activity
20122023
most citedROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion

217 citations · 687 across the 55 of their papers we have counts for

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Showing cs.ROShow all

10 papers · 1 filter

cs.RO2021★ 6 cited

Learning Practically Feasible Policies for Online 3D Bin Packing

Hang Zhao, Chenyang Zhu, Xin Xu +2

We tackle the Online 3D Bin Packing Problem, a challenging yet practically useful variant of the classical Bin Packing Problem. In this problem, the items are delivered to the agen…

cs.RO2020★ 11 cited

Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization

Pengdi Huang, Liqiang Lin, Kai Xu +1

Autonomous 3D acquisition of outdoor environments poses special challenges. Different from indoor scenes, where the room space is delineated by clear boundaries and separations (e.…

cs.RO2020★ 1 cited

Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning

Qiaoyun Wu, Xiaoxi Gong, Kai Xu +3

We present a target-driven navigation system to improve mapless visual navigation in indoor scenes. Our method takes a multi-view observation of a robot and a target as inputs at e…

cs.RO2020★ 4 cited

Deep Differentiable Grasp Planner for High-DOF Grippers

Min Liu, Zherong Pan, Kai Xu +2

We present an end-to-end algorithm for training deep neural networks to grasp novel objects. Our algorithm builds all the essential components of a grasping system using a forward-…

cs.RO2019★ 3 cited

Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization

Qiaoyun Wu, Kai Xu, Jun Wang +3

To enhance the cross-target and cross-scene generalization of target-driven visual navigation based on deep reinforcement learning (RL), we introduce an information-theoretic regul…

cs.RO2019★ 3 cited

New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning

Min Liu, Zherong Pan, Kai Xu +1

We present a two-level branch-and-bound (BB) algorithm to compute the optimal gripper pose that maximizes a grasp metric in a restricted search space. Our method can take the gripp…

cs.RO2019★ 1 cited

NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations

Qiaoyun Wu, Dinesh Manocha, Jun Wang +1

We propose improving the cross-target and cross-scene generalization of visual navigation through learning an agent that is guided by conceiving the next observations it expects to…

cs.RO2019

Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages

Zherong Pan, Min Liu, Xifeng Gao +2

We present a method to find globally optimal topology and trajectory jointly for planar linkages. Planar linkage structures can generate complex end-effector trajectories using onl…

cs.RO2019★ 7 cited

Generating Grasp Poses for a High-DOF Gripper Using Neural Networks

Min Liu, Zherong Pan, Kai Xu +2

We present a learning-based method for representing grasp poses of a high-DOF hand using neural networks. Due to redundancy in such high-DOF grippers, there exists a large number o…

cs.RO2018★ 4 cited

Caging Loops in Shape Embedding Space: Theory and Computation

Jian Liu, Shiqing Xin, Zengfu Gao +3

We propose to synthesize feasible caging grasps for a target object through computing Caging Loops, a closed curve defined in the shape embedding space of the object. Different fro…