Fetching the paper…
Reading the bibliography…
We present the design, implementation, and evaluation of RF-Grasp, a robotic system that can grasp fully-occluded objects in unknown and unstructured environments.
R. Bajcsy, “Active perception,”
1988
Earlier work this paper cites.
W. Gueaieb and M. S. Miah, “An intelligent mobile robot navigation technique using rfid technology,”
2008
Earlier work this paper cites.
M. Kim and N. Y. Chong, “Direction sensing rfid reader for mobile robot navigation,”
2008
Earlier work this paper cites.
T. Deyle, C. Anderson, C. C. Kemp, and M. S. Reynolds, “A foveated passive uhf rfid system for mobile manipulation,” in
2008
Earlier work this paper cites.
S. Park and S. Hashimoto, “Autonomous mobile robot navigation using passive rfid in indoor environment,”
2009
Earlier work this paper cites.
T. Deyle, H. Nguyen, M. Reynolds, and C. C. Kemp, “Rf vision: Rfid receive signal strength indicator (rssi) images for sensor fusion and mobile manipulation,” in
2009
Earlier work this paper cites.
A. Aydemir, K. Sjöö, J. Folkesson, A. Pronobis, and P. Jensfelt, “Search in the real world: Active visual object search based on spatial relations,” in
2011
Earlier work this paper cites.
M. Dogar, K. Hsiao, M. Ciocarlie, and S. Srinivasa, “Physics-based grasp planning through clutter,” in
2012
Earlier work this paper cites.
X. Huang, I. Walker, and S. Birchfield, “Occlusion-aware reconstruction and manipulation of 3d articulated objects,” in
2012
Earlier work this paper cites.
R. A. Knepper, T. Layton, J. Romanishin, and D. Rus, “Ikeabot: An autonomous multi-robot coordinated furniture assembly system,” in
2013
Earlier work this paper cites.
J. Wang and D. Katabi, “Dude, where’s my card? rfid positioning that works with multipath and non-line of sight,” in
2013
Earlier work this paper cites.
J. Wang, F. Adib, R. Knepper, D. Katabi, and D. Rus, “RF-Compass: Robot Object Manipulation Using RFIDs,” in
2013
Earlier work this paper cites.
T. Deyle, C. J. Tralie, M. S. Reynolds, and C. C. Kemp, “In-hand radio frequency identification (rfid) for robotic manipulation,” in
2013
Cited alongside, same era.
D. Katz, A. Venkatraman, M. Kazemi, J. A. Bagnell, and A. Stentz, “Perceiving, learning, and exploiting object affordances for autonomous pile manipulation,”
2014
Cited alongside, same era.
T. Deyle, M. S. Reynolds, and C. C. Kemp, “Finding and navigating to household objects with uhf rfid tags by optimizing rf signal strength,” in
2014
Cited alongside, same era.
G. Kahn, P. Sujan, S. Patil, S. Bopardikar, J. Ryde, K. Goldberg, and P. Abbeel, “Active exploration using trajectory optimization for robotic grasping in the presence of occlusions,” in
2015
Cited alongside, same era.
F. Adib, C.-Y. Hsu, H. Mao, D. Katabi, and F. Durand, “Capturing the human figure through a wall,”
2015
A. Zeng, S. Song, K.-T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo,
2018
Later among the works it cites.
M. Danielczuk, A. Kurenkov, A. Balakrishna, M. Matl, D. Wang, R. Martín-Martín, A. Garg, S. Savarese, and K. Goldberg, “Mechanical search: Multi-step retrieval of a target object occluded by clutter,” in
2019
Later among the works it cites.
R. Das, “RFID Forecasts, Players and Opportunities 2019-2029,” IDTechx, 2019
2019
Later among the works it cites.
D. Morrison, P. Corke, and J. Leitner, “Multi-view picking: Next-best-view reaching for improved grasping in clutter,” in
2019
Later among the works it cites.
A. Price, L. Jin, and D. Berenson, “Inferring occluded geometry improves performance when retrieving an object from dense clutter,”
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
T. Schaul, J. Quan, I. Antonoglou, and D. Silver, “Prioritized experience replay,”
2015
Cited alongside, same era.
L. Shangguan and K. Jamieson, “The design and implementation of a mobile rfid tag sorting robot,” in
2016
Cited alongside, same era.
S.-K. Kim and M. Likhachev, “Planning for grasp selection of partially occluded objects,” in
2016
Cited alongside, same era.
Y. Ma, N. Selby, and F. Adib, “Minding the billions: Ultrawideband localization for deployed rfid tags,”
2017
Cited alongside, same era.
E. Jang, S. Vijayanarasimhan, P. Pastor, J. Ibarz, and S. Levine, “End-to-end learning of semantic grasping,” in
2017
Cited alongside, same era.
J. Bohg, K. Hausman, B. Sankaran, O. Brock, D. Kragic, S. Schaal, and G. S. Sukhatme, “Interactive perception: Leveraging action in perception and perception in action,”
2017
Cited alongside, same era.
A. Zeng, S. Song, S. Welker, J. Lee, A. Rodriguez, and T. Funkhouser, “Learning synergies between pushing and grasping with self-supervised deep reinforcement learning,” in
2018
Cited alongside, same era.
2019
Later among the works it cites.
K. Wada, K. Okada, and M. Inaba, “Joint learning of instance and semantic segmentation for robotic pick-and-place with heavy occlusions in clutter,” in
2019
Later among the works it cites.
C. Chen, H.-Y. Li, X. Zhang, X. Liu, and U.-X. Tan, “Towards robotic picking of targets with background distractors using deep reinforcement learning,” in
2019
Later among the works it cites.
M. Danielczuk, A. Angelova, V. Vanhoucke, and K. Goldberg, “X-ray: Mechanical search for an occluded object by minimizing support of learned occupancy distributions,”
2020
Closest in time.
T. Novkovic, R. Pautrat, F. Furrer, M. Breyer, R. Siegwart, and J. Nieto, “Object finding in cluttered scenes using interactive perception,” in
2020
Closest in time.
Y. Yang, H. Liang, and C. Choi, “A deep learning approach to grasping the invisible,”
2020
Closest in time.
Y. Cui, J. Ooga, A. Ogawa, and T. Matsubara, “Probabilistic active filtering with gaussian processes for occluded object search in clutter,”
2020
Closest in time.