32 citations · 53 across the 7 of their papers we have counts for
8 papers
Optimal least-squares solution to the hand-eye calibration problem
Amit Dekel, Linus Härenstam-Nielsen, Sergio Caccamo
We propose a least-squares formulation to the noisy hand-eye calibration problem using dual-quaternions, and introduce efficient algorithms to find the exact optimal solution, base…
Joint 3D Reconstruction of a Static Scene and Moving Objects
Sergio Caccamo, Esra Ataer-Cansizoglu, Yuichi Taguchi
We present a technique for simultaneous 3D reconstruction of static regions and rigidly moving objects in a scene. An RGB-D frame is represented as a collection of features, which…
Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics
Sergio Caccamo, Püren Güler, Hedvig Kjellström +1
Exploring and modeling heterogeneous elastic surfaces requires multiple interactions with the environment and a complex selection of physical material parameters. The most common a…
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces
Sergio Caccamo, Yasemin Bekiroglu, Carl Henrik Ek +1
In this work we study the problem of exploring surfaces and building compact 3D representations of the environment surrounding a robot through active perception. We propose an onli…
A New UGV Teleoperation Interface for Improved Awareness of Network Connectivity and Physical Surroundings
Ramviyas Parasuraman, Sergio Caccamo, Fredrik Båberg +2
A reliable wireless connection between the operator and the teleoperated Unmanned Ground Vehicle (UGV) is critical in many Urban Search and Rescue (USAR) missions. Unfortunately, a…
RCAMP: A Resilient Communication-Aware Motion Planner for Mobile Robots with Autonomous Repair of Wireless Connectivity
Sergio Caccamo, Ramviyas Parasuraman, Luigi Freda +2
Mobile robots, be it autonomous or teleoperated, require stable communication with the base station to exchange valuable information. Given the stochastic elements in radio signal…
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances
Wim Abbeloos, Esra Ataer-Cansizoglu, Sergio Caccamo +2
Unsupervised object modeling is important in robotics, especially for handling a large set of objects. We present a method for unsupervised 3D object discovery, reconstruction, and…
Detecting and Grouping Identical Objects for Region Proposal and Classification
Wim Abbeloos, Sergio Caccamo, Esra Ataer-Cansizoglu +3
Often multiple instances of an object occur in the same scene, for example in a warehouse. Unsupervised multi-instance object discovery algorithms are able to detect and identify s…