41 citations · 104 across the 45 of their papers we have counts for
30 papers · 1 filter
Efficient Differentiable Contact Model with Long-range Influence
Xiaohan Ye, Kui Wu, Zherong Pan +1
With the maturation of differentiable physics, its role in various downstream applications: such as model predictive control, robotic design optimization, and neural PDE solvers, h…
Language-Guided Generation for Personalized Inspection Planning
Xingpeng Sun, Zherong Pan, Xifeng Gao +2
We propose a training-free, Vision-Language Model (VLM)-guided approach for efficiently generating trajectories to facilitate target inspection planning based on text descriptions.…
Internal State Estimation in Groups via Active Information Gathering
Xuebo Ji, Zherong Pan, Xifeng Gao +7
Accurately estimating human internal states, such as personality traits or behavioral patterns, is critical for enhancing the effectiveness of human-robot interaction, particularly…
SDRS: Shape-Differentiable Robot Simulator
Xiaohan Ye, Xifeng Gao, Kui Wu +2
Robot simulators are indispensable tools across many fields, and recent research has significantly improved their functionality by incorporating additional gradient information. Ho…
Learning Neural Traffic Rules
Xuan Zhang, Xifeng Gao, Kui Wu +1
Extensive research has been devoted to the field of multi-agent navigation. Recently, there has been remarkable progress attributed to the emergence of learning-based techniques wi…
Learning Reduced-Order Soft Robot Controller
Chen Liang, Xifeng Gao, Kui Wu +1
Deformable robots are notoriously difficult to model or control due to its high-dimensional configuration spaces. Direct trajectory optimization suffers from the curse-of-dimension…
Second-Order Convergent Collision-Constrained Optimization-Based Planner
Chen Liang, Xifeng Gao, Kui Wu +1
Finding robot poses and trajectories represents a foundational aspect of robot motion planning. Despite decades of research, efficiently and robustly addressing these challenges is…
Real-Time Decentralized Navigation of Nonholonomic Agents Using Shifted Yielding Areas
Liang He, Zherong Pan, Dinesh Manocha
We present a lightweight, decentralized algorithm for navigating multiple nonholonomic agents through challenging environments with narrow passages. Our key idea is to allow agents…
Provably Robust Semi-Infinite Program Under Collision Constraints via Subdivision
Duo Zhang, Chen Liang, Xifeng Gao +2
We present a semi-infinite program (SIP) solver for trajectory optimizations of general articulated robots. These problems are more challenging than standard Nonlinear Program (NLP…
First-Order Bilevel Topology Optimization for Fast Mechanical Design
Zherong Pan, Xifeng Gao, Kui Wu
Topology Optimization (TO), which maximizes structural robustness under material weight constraints, is becoming an essential step for the automatic design of mechanical parts. How…
Robust Multi-Robot Trajectory Optimization Using Alternating Direction Method of Multiplier
Ruiqi Ni, Zherong Pan, Xifeng Gao
We propose a variant of alternating direction method of multiplier (ADMM) to solve constrained trajectory optimization problems. Our ADMM framework breaks a joint optimization into…
Joint Search of Optimal Topology and Trajectory for Planar Linkages
Zherong Pan, Min Liu, Xifeng Gao +1
We present an algorithm to compute planar linkage topology and geometry, given a user-specified end-effector trajectory. Planar linkage structures convert rotational or prismatic m…
Multi-Robot Path Planning in Complex Environments via Graph Embedding
Xifeng Gao, Zherong Pan, Ruiqi Ni
We propose an approach to solve multi-agent path planning (MPP) problems for complex environments. Our method first designs a special pebble graph with a set of feasibility constra…
Planning of Power Grasps Using Infinite Program Under Complementary Constraints
Zherong Pan, Duo Zhang, Changhe Tu +1
We propose an optimization-based approach to plan power grasps. Central to our method is a reformulation of grasp planning as an infinite program under complementary constraints (I…
Optimized Coverage Planning for UV Surface Disinfection
Joao Marcos Correia Marques, Ramya Ramalingam, Zherong Pan +1
UV radiation has been used as a disinfection strategy to deactivate a wide range of pathogens, but existing irradiation strategies do not ensure sufficient exposure of all environm…
Implicit Integration for Articulated Bodies with Contact via the Nonconvex Maximal Dissipation Principle
Zherong Pan, Kris Hauser
We present non-convex maximal dissipation principle (NMDP), a time integration scheme for articulated bodies with simultaneous contacts. Our scheme resolves contact forces via the…
Decision Making in Joint Push-Grasp Action Space for Large-Scale Object Sorting
Zherong Pan, Kris Hauser
We present a planner for large-scale (un)labeled object sorting tasks, which uses two types of manipulation actions: overhead grasping and planar pushing. The grasping action offer…
Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision
Ruiqi Ni, Teseo Schneider, Daniele Panozzo +2
Generating locally optimal UAV-trajectories is challenging due to the non-convex constraints of collision avoidance and actuation limits. We present the first local, optimization-b…
Multi-Robot Path Planning Using Medial-Axis-Based Pebble-Graph Embedding
Liang He, Zherong Pan, Kiril Solovey +2
We present a centralized algorithm for labeled, disk-shaped Multi-Robot Path Planning (MPP) in a continuous planar workspace with polygonal boundaries. Our method automatically tra…
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-…
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…
Generating Optimal Grasps Under A Stress-Minimizing Metric
Zherong Pan, Xifeng Gao, Dinesh Manocha
We present stress-minimizing (SM) metric, a new metric of grasp qualities. Unlike previous metrics that ignore the material of target objects, we assume that target objects are mad…
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…
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…