Salvatore D'Avella

Orcid: 0000-0001-7065-8789

According to our database1, Salvatore D'Avella authored at least 13 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
One-Shot Imitation Learning With Graph Neural Networks for Pick-and-Place Manipulation Tasks.
IEEE Robotics Autom. Lett., September, 2023

Multimodal Grasp Planner for Hybrid Grippers in Cluttered Scenes.
IEEE Robotics Autom. Lett., April, 2023

i2c-net: Using Instance-Level Neural Networks for Monocular Category-Level 6D Pose Estimation.
IEEE Robotics Autom. Lett., March, 2023

ROS-Industrial based robotic cell for Industry 4.0: Eye-in-hand stereo camera and visual servoing for flexible, fast, and accurate picking and hooking in the production line.
Robotics Comput. Integr. Manuf., 2023

2022
A Synthetic Aperture UHF RFID Localization Method by Phase Unwrapping and Hyperbolic Intersection.
IEEE Trans Autom. Sci. Eng., 2022

Multi-Camera Extrinsic Calibration for Real-Time Tracking in Large Outdoor Environments.
J. Sens. Actuator Networks, 2022

On Multi-Agent Cognitive Cooperation: Can virtual agents behave like humans?
Neurocomputing, 2022

Modeling multiple vehicle interaction constraints for behavior prediction of vehicles on highways.
Comput. Electr. Eng., 2022

RFID Gazebo-Based Simulator With RSSI and Phase Signals for UHF Tags Localization and Tracking.
IEEE Access, 2022

Retail Robots with UHF-RFID Moving Antennas enabling 3D Localization.
Proceedings of the 12th IEEE International Conference on RFID Technology and Applications, 2022

Towards autonomous soft grasping of deformable objects using flexible thin-film electro-adhesive gripper.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

A Reinforcement Learning Decentralized Multi-Agent Control Approach exploiting Cognitive Cooperation on Continuous Environments.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2020
A study on picking objects in cluttered environments: Exploiting depth features for a custom low-cost universal jamming gripper.
Robotics Comput. Integr. Manuf., 2020


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