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Robot Learning From Randomized Simulations: A Review

Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2022 Frontiers in Robotics and AI  
This raises the question of how simulators can be modified to facilitate learning robot control policies and overcome the mismatch between simulation and reality, often called the "reality gap."  ...  Therefore, state-of-the-art approaches learn in simulation where data generation is fast as well as inexpensive and subsequently transfer the knowledge to the real robot (sim-to-real).  ...  “Quantifying the Reality gap in Robotic Manipulation Tasks,” in International Conference on Robotics and Automation (ICRA), May 20-24 (Montreal, QC, Canada: IEEE), 6706–6712. doi:10.1109/ICRA.2019.8793591  ... 
doi:10.3389/frobt.2022.799893 pmid:35494543 pmcid:PMC9038844 fatcat:f7bytfvmgjfnllmnuy74ywnxau

Evaluation of Socially-Aware Robot Navigation

Yuxiang Gao, Chien-Ming Huang
2022 Frontiers in Robotics and AI  
While research on enabling socially-aware robot navigation has expanded over the years, there are no agreed-upon evaluation protocols or benchmarks to allow for the systematic development and evaluation  ...  As mobile robots are increasingly introduced into our daily lives, it grows ever more imperative that these robots navigate with and among people in a safe and socially acceptable manner, particularly  ...  “Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation,” in Proceedings - IEEE International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 20-24 May 2019, 6518–6524  ... 
doi:10.3389/frobt.2021.721317 pmid:35096978 pmcid:PMC8791647 fatcat:egddc7tddbhj7hyevenemyh6pi

Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy

Thomas Lee, Susan Mckeever, Jane Courtney
2021 Drones  
However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed.  ...  This work serves as a guide to research in drone autonomy with a particular focus on Deep Learning-based solutions, indicating key works and areas of opportunity for development of this area in the future  ...  In Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2024 May 2019; pp. 6101–6108. [CrossRef] 17.  ... 
doi:10.3390/drones5020052 fatcat:jqel25c655ajrkd2kzyyucy6ku

Invariant Set Distributed Explicit Reference Governors for Provably Safe On-Board Control of Nano-Quadrotor Swarms

Bryan Convens, Kelly Merckaert, Bram Vanderborght, Marco M. Nicotra
2021 Frontiers in Robotics and AI  
The control strategy is implemented in real-time on-board palm-sized unmanned erial vehicles, and achieves safe swarm coordination without relying on any offline trajectory computations.  ...  The efficacy, robustness, and scalability of the proposed theory is demonstrated by an extensive experimental validation campaign and a comparative simulation study on single and multiple nano-quadrotors  ...  Fast and in Sync: Periodic Swarm Patterns for Quadrotors. in Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, May 2024, 2019, 9143–9149. doi:10.1109  ... 
doi:10.3389/frobt.2021.663809 fatcat:uajgejz54bggrbfxpplwgxivwm

Human Factors Considerations and Metrics in Shared Space Human-Robot Collaboration: A Systematic Review

Sarah Hopko, Jingkun Wang, Ranjana Mehta
2022 Frontiers in Robotics and AI  
The degree of successful human-robot collaboration is dependent on the joint consideration of robot factors (RF) and human factors (HF).  ...  The theory of human factors in human-automation interaction has long been studied; however, the formal investigation of these HFs in shared space human-robot collaboration (HRC) and the potential interactive  ...  “Safe Human Robot Cooperation in Task Performed on the Shared Load,” in Proceeding of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 20-24 May 2019 (IEEE), 3761  ... 
doi:10.3389/frobt.2022.799522 pmid:35187093 pmcid:PMC8850717 fatcat:msmwevxm3ncj7is2bl2qmfp2ke

Robotic Manipulation and Capture in Space: A Survey

Evangelos Papadopoulos, Farhad Aghili, Ou Ma, Roberto Lampariello
2021 Frontiers in Robotics and AI  
Space exploration and exploitation depend on the development of on-orbit robotic capabilities for tasks such as servicing of satellites, removing of orbital debris, or construction and maintenance of orbital  ...  Manipulation and capture of objects on-orbit are key enablers for these capabilities.  ...  In IEEE International Conference on Robotics and Automation ICRA.  ... 
doi:10.3389/frobt.2021.686723 fatcat:tigdb7c2tzhcjp7kxkjntqgdri

Autonomous Obstacle Crossing Strategies for the Hybrid Wheeled-Legged Robot Centauro

Alessio De Luca, Luca Muratore, Vignesh Sushrutha Raghavan, Davide Antonucci, Nikolaos G. Tsagarakis
2021 Frontiers in Robotics and AI  
It was then ported and verified on the CENTAURO robot enabling the robot to successfully negotiate terrains of diverse geometry and size using the terrain traversing primitives.  ...  The proposed methodology makes use of a set of terrain traversing primitive behaviors that are used to perform driving, stepping on, down and over and can be adapted, based on the ground and obstacle geometry  ...  “Cartesi/o: A Ros Based Real-Time Capable Cartesian Control Framework,” in Proceeding of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 20-24 May 2019 (IEEE)  ... 
doi:10.3389/frobt.2021.721001 pmid:34869611 pmcid:PMC8640219 fatcat:3a2zm25si5g6zpm2ouqibod4ia

Point Projection Network: A Multi-View-Based Point Completion Network with Encoder-Decoder Architecture

Weichao Wu, Zhong Xie, Yongyang Xu, Ziyin Zeng, Jie Wan
2021 Remote Sensing  
Qualitative and quantitative experiments on the ShapeNet dataset indicate that our method achieves good results in learning-based point cloud shape completion methods in terms of chamfer distance (CD)  ...  PP-Net completes and optimizes the defective point cloud in a projection-to-shape manner in two stages.  ...  In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 30 May–5 June 2021.  ... 
doi:10.3390/rs13234917 fatcat:luwn73pvy5df5liik4bed7kscm

Producing Synthetic Dataset for Human Fall Detection in AR/VR Environments

Denis Zherdev, Larisa Zherdeva, Sergey Agapov, Anton Sapozhnikov, Artem Nikonorov, Sergej Chaplygin
2021 Applied Sciences  
The issues with synthetic data generation based on digital human simulation were implemented and examined using the Unreal Engine.  ...  There are a lot of different approaches to improving the fidelity of fall monitoring systems through the use of novel sensors and deep learning architectures; however, there is still a lack of detail and  ...  In Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2024 May 2019; pp. 7283–7290. 12.  ... 
doi:10.3390/app112411938 fatcat:dahbqznolzdbdkqllxet4awrcy

From AI to IA: Towards Intelligent Analysis of Cooperative Behavior in Bottlenose Dolphins [article]

Ding Zhang, University, My
2022
This behavior depends on each individual's temporal behavior profile and the spatial locations of the individuals over time.  ...  To address this gap, we present Intelligent Analysis (IA) methods that leverage experimental data to study the coordinated behavior of bottlenose dolphins and investigate how energetic cost may influence  ...  May 20-24, 2019, Montreal, QC, Canada: IEEE, 2019, pp. 6575-6581 External Measurement Internal Measurement Stationary On-Body Cameras Sensors Content of this chapter is mainly associated with the following  ... 
doi:10.7302/3940 fatcat:savevi6wungfdfq3kada5t3qna