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Barry Ridge
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2020 – today
- 2024
- [j6]Matija Mavsar
, Barry Ridge
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks. IEEE Trans. Neural Networks Learn. Syst. 35(1): 494-506 (2024) - 2022
- [c11]Xianmei Lei, Taeyeon Kim, Nicolas Marchal, Daniel Pastor, Barry Ridge
Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments. IROS 2022: 2017-2024 - [c10]Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain. IROS 2022: 12419-12425 - [i4]Xianmei Lei, Taeyeon Kim, Nicolas Marchal, Daniel Pastor, Barry Ridge
Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments. CoRR abs/2206.10062 (2022) - [i3]Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain. CoRR abs/2208.01329 (2022) - 2021
- [j5]Tu-Hoa Pham
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching. IEEE Robotics Autom. Lett. 6(2): 4009-4016 (2021) - [i2]Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric A. Kulczycki, Renaud Detry:
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching. CoRR abs/2103.03395 (2021) - [i1]Shreyansh Daftry, Barry Ridge, William Seto, Tu-Hoa Pham, Peter Ilhardt, Gerard Maggiolino, Mark Van der Merwe, Alexander Brinkman, John Mayo, Eric Kulczyski, Renaud Detry:
Machine Vision based Sample-Tube Localization for Mars Sample Return. CoRR abs/2103.09942 (2021) - 2020
- [j4]Rok Pahic
Training of deep neural networks for the generation of dynamic movement primitives. Neural Networks 127: 121-131 (2020) - [j3]Timotej Gaspar
Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells. Robotics Comput. Integr. Manuf. 66: 101979 (2020)
2010 – 2019
- 2019
- [j2]Minija Tamosiunaite, Mohamad Javad Aein, Jan-Matthias Braun
Cut & recombine: reuse of robot action components based on simple language instructions. Int. J. Robotics Res. 38(10-11) (2019) - [c9]Barry Ridge
Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks. ICRA 2019: 2111-2117 - [c8]Barry Ridge
Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction. RAAD 2019: 514-523 - 2017
- [j1]Philipp Zech
Computational models of affordance in robotics: a taxonomy and systematic classification. Adapt. Behav. 25(5): 235-271 (2017) - [c7]Barry Ridge
Rapid state machine assembly for modular robot control using meta-scripting, templating and code generation. Humanoids 2017: 661-668 - [c6]Timotej Gaspar
Rapid hardware and software reconfiguration in a robotic workcell. ICAR 2017: 229-236 - 2016
- [c5]Barry Ridge
Action-grounded surface geometry and volumetric shape feature representations for object affordance prediction. Humanoids 2016: 1022-1028 - 2015
- [c4]Barry Ridge
Comparison of action-grounded and non-action-grounded 3-D shape features for object affordance classification. ICAR 2015: 635-641 - 2013
- [c3]Bojan Nemec, Fares J. Abu-Dakka
Transfer of assembly operations to new workpiece poses by adaptation to the desired force profile. ICAR 2013: 1-7 - [c2]Barry Ridge
Action-grounded push affordance bootstrapping of unknown objects. IROS 2013: 2791-2798 - 2010
- [c1]Barry Ridge
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems. ICRA 2010: 5047-5054
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