The grand challenges of Science Robotics

By Guang-Zhong Yang, James Bellingham, Pierre E. Dupont, Peer Fischer, Luciano Floridi, Robert J. Full, N. Jacobstein, Vijay R. Kumar, Marcia K McNutt, Robert D. Merrifield and 7 more. Science Robotics, 2018

1,118 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/536c764040b57bb33ef64b8e9b05686640533939

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Marco Dorigo
2. Guy Theraulaz
3. Vito Trianni

In Mechanical Engineering

1. Marco Dorigo
2. Luciano Floridi
3. Vito Trianni
4. Levent Bayindir

Citations in the corpus

• Swarm Robotics: Past, Present, and Future (2021, background): “C O N C L U S I O N The design and implementation of effective robot swarms is among the greatest challenges that lie ahead for robotics, as well as one of the most promising research avenues, as acknowledged in [116].”
• Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review (2020, background): “The field of robotics is broad and covers several diverse technological areas (Yang et al., 2018).”
• Tool Learning with Foundation Models (2023, positive): “We focus on HotpotQA (Yang et al., 2018b) for question answering.”