Eric Cristofalo

Orcid: 0000-0003-1712-4600

According to our database1, Eric Cristofalo authored at least 14 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing.
IEEE Trans. Robotics, 2020

Vision-Based Control for Fast 3-D Reconstruction With an Aerial Robot.
IEEE Trans. Control. Syst. Technol., 2020

GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization.
CoRR, 2020

CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Control in belief space with temporal logic specifications using vision-based localization.
Int. J. Robotics Res., 2019

AirSim Drone Racing Lab.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Consensus-based Distributed 3D Pose Estimation with Noisy Relative Measurements.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing.
Proceedings of the Robotics: Science and Systems XIV, 2018

2017
Out-of-focus: Learning Depth from Image Bokeh for Robotic Perception.
CoRR, 2017

2016
Vision-Based Distributed Formation Control Without an External Positioning System.
IEEE Trans. Robotics, 2016

Localization of a Ground Robot by Aerial Robots for GPS-Deprived Control with Temporal Logic Constraints.
Proceedings of the International Symposium on Experimental Robotics, 2016

Distributed formation control of non-holonomic robots without a global reference frame.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Control in belief space with Temporal Logic specifications.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera.
Proceedings of the 2016 American Control Conference, 2016


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