1 citations · 1 across the 1 of their papers we have counts for
7 papers
Multi-FEAT: Multi-Feature Edge Alignment for Targetless Camera-LiDAR Calibration
Bichi Zhang, Holger Caesar, Raj Thilak Rajan
Multi-agent systems, e.g., automobiles and UAVs (Unmanned Ariel Vehicles), rely on the precision of onboard sensors to accurately perceive their environment, which in turn depends…
Consensus-based Recursive Multi-Output Gaussian Process
Yogesh Prasanna Kumar Rao, Tamas Keviczky, Raj Thilak Rajan
Multi-output Gaussian Processes provide principled uncertainty-aware learning of vector-valued fields but are difficult to deploy in large-scale, distributed, and streaming setting…
Multicluster Design and Control of Large-Scale Affine Formations
Zhonggang Li, Geert Leus, Raj Thilak Rajan
Conventional affine formation control (AFC) empowers a network of agents with flexible but collective motions - a potential which has not yet been exploited for large-scale swarms.…
A Covariance Matching Approach to Graph Topology Identification
Yongsheng Han, Raj Thilak Rajan, Geert Leus
Graph topology identification (GTI) is a central challenge in networked systems, where the underlying structure is often hidden, yet nodal data are available. Conventional solution…
Fast Multiagent Formation Stabilization with Sparse Universally Rigid Frameworks
Zhonggang Li, Geert Leus, Raj Thilak Rajan
Affine formation control (AFC) is a distributed networked control system that has recently received increasing attention in various applications. AFC is typically achieved using a…
Geometry-Aware Edge-State Tracking for Resilient Affine Formation Control
Zhonggang Li, Raj Thilak Rajan
Affine formation control (AFC) is a subset of formation control methods that enables coordinated multiagent movement while preserving affine relationships, and has recently gained…