Correction: Bhagat, S.; et al. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4
- In Figure 1 of this paper [1], the caption was revised with the permission from the publishers as “Various applications of SoRo. Reprinted (adapted) with permission from [20–22]. Copyright 2017, Elsevier B.V. Copyright 2016, American Association for the Advancement of Science. Copyright 2017, National Academy of Sciences.”
- In Table 2 of this paper [1], the caption was revised with the permission from the publishers as “SoRo applied to achieve state-of-the-art results alongside sub-domains where its utilization with deep reinforcement learning (DRL) and imitation learning techniques presently occur. Pictures adapted with permission from [40,41]. Copyright 2014, Mary Ann Liebert, Inc., publishers. Copyright 2017, American Association for the Advancement of Science.”
- In Figure 2 of this paper [1], the caption was revised with the permission from the publishers as “Training architecture of a Deep Q-Network (DQN) agent. Picture adapted with permission from [47]. Copyright 2018, American Association for the Advancement of Science.”
- In Figure 3 of this paper [1], the caption was revised with the permission from the publishers as “Training architecture of a Deep Deterministic Policy Gradients (DDPG) agent. The blue lines portray the updated equations. Picture adapted with permission from [47]. Copyright 2018, American Association for the Advancement of Science.”
- In Figure 5 of this paper [1], the caption was revised with the permission from the publishers as “Expected application of DRL techniques in the task of navigation. Inset adapted with permission from [72]. Copyright 2018, American Association for the Advancement of Science.”
- In Figure 7 of this paper [1], the caption was revised with the permission from the publishers as “Soft Robot Simulation on SOFA using Soft-robotics toolkit. Figure adapted with permission from [137]. Copyright 2017, IEEE.”
- In Figure 8 of this paper [1], the caption was revised with the permission from the publishers as “Training Architecture of CycleGAN and CyCADA [92,138]. Figure adapted with permission from [139]. Copyright 2018, Mary Ann Liebert, Inc., publishers.”
- In Table 4 of this paper [1], the caption was revised with the permission from the publishers as, “Instances of bio-inspired soft robotics applications that make use DRL or Imitation Learning technologies. Picture adapted with permission from [47,162–164]. Copyright 2018, American Association for the Advancement of Science. Copyright 2016, Springer Nature Limited. Copyright 2011, IEEE. Copyright 2016, John Wiley Sons, Inc.”
References
- Bhagat, S.; Banerjee, H.; Ho Tse, Z.T.; Ren, H. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4. [Google Scholar] [CrossRef]
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Bhagat, S.; Banerjee, H.; Ho Tse, Z.T.; Ren, H. Correction: Bhagat, S.; et al. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4. Robotics 2019, 8, 93. https://doi.org/10.3390/robotics8040093
Bhagat S, Banerjee H, Ho Tse ZT, Ren H. Correction: Bhagat, S.; et al. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4. Robotics. 2019; 8(4):93. https://doi.org/10.3390/robotics8040093
Chicago/Turabian StyleBhagat, Sarthak, Hritwick Banerjee, Zion Tsz Ho Tse, and Hongliang Ren. 2019. "Correction: Bhagat, S.; et al. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4" Robotics 8, no. 4: 93. https://doi.org/10.3390/robotics8040093
APA StyleBhagat, S., Banerjee, H., Ho Tse, Z. T., & Ren, H. (2019). Correction: Bhagat, S.; et al. Deep Reinforcement Learning for Soft, Flexible Robots: Brief Review with Impending Challenges. Robotics 2019, 8, 4. Robotics, 8(4), 93. https://doi.org/10.3390/robotics8040093