Robohub.org
 

#ICRA2023 awards finalists and winners


by
05 June 2023



share this:

In this post we bring you all the paper awards finalists and winners presented during the 2023 edition of the IEEE International Conference on Robotics and Automation (ICRA). Congratulations to the winners and finalists!

ICRA 2023 Outstanding Paper

ICRA 2023 Outstanding Automation Paper

ICRA 2023 Outstanding Student Paper

ICRA 2023 Outstanding Deployed Systems Paper

ICRA 2023 Outstanding Dynamics and Control Paper

ICRA 2023 Outstanding Healthcare and Medical Robotics Paper

ICRA 2023 Outstanding Locomotion Paper

ICRA 2023 Outstanding Manipulation Paper

ICRA 2023 Outstanding Mechanisms and Design Paper

ICRA 2023 Outstanding Multi-Robot Systems Paper

ICRA 2023 Outstanding Navigation Paper

  • IMODE: Real-Time Incremental Monocular Dense Mapping Using Neural Field, by Matsuki, Hidenobu; Sucar, Edgar; Laidlow, Tristan; Wada, Kentaro; Scona, Raluca; Davison, Andrew J.
  • SmartRainNet: Uncertainty Estimation for Laser Measurement in Rain, by Zhang, Chen; Huang, Zefan; Tung, Beatrix; Ang Jr, Marcelo H; Rus, Daniela. (WINNER)
  • Online Whole-Body Motion Planning for Quadrotor Using Multi-Resolution Search, by Ren, Yunfan; Liang, Siqi; Zhu, Fangcheng; Lu, Guozheng; Zhang, Fu.

ICRA 2023 Outstanding Physical Human-Robot Interaction Paper

ICRA 2023 Outstanding Planning Paper

ICRA 2023 Outstanding Robot Learning Paper

ICRA 2023 Outstanding Sensors and Perception Paper



tags:


Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.
Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.





Related posts :



Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence