Aim My Robot: Precision Local Navigation to Any Object

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R. C. Conlter, “Implementation of the pure pursuit path’hcking algorithm,”
1992
Earlier work this paper cites.
D. Fox, W. Burgard, F. Dellaert, and S. Thrun, “Monte carlo localization: Efficient position estimation for mobile robots,”
1999
Earlier work this paper cites.
T. A. Tamba, B. Hong, and K.-S. Hong, “A path following control of an unmanned autonomous forklift,”
2009
Earlier work this paper cites.
S. Ross, G. Gordon, and D. Bagnell, “A reduction of imitation learning and structured prediction to no-regret online learning,” in
2011
Earlier work this paper cites.
X. Meng, N. Ratliff, Y. Xiang, and D. Fox, “Scaling local control to large-scale topological navigation,” in
2020
Earlier work this paper cites.
C. R. Garrett, T. Lozano-Pérez, and L. P. Kaelbling, “Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,” in
2020
Earlier work this paper cites.
M. P. Strub and J. D. Gammell, “Adaptively informed trees (ait*): Fast asymptotically optimal path planning through adaptive heuristics,” in
2020
Earlier work this paper cites.
D. S. Chaplot, D. P. Gandhi, A. Gupta, and R. R. Salakhutdinov, “Object goal navigation using goal-oriented semantic exploration,”
2020
Earlier work this paper cites.
NVIDIA, “Nvidia isaac sim,”
2021
Earlier work this paper cites.
J. Krantz, S. Lee, J. Malik, D. Batra, and D. S. Chaplot, “Instance-specific image goal navigation: Training embodied agents to find object instances,”
Original
2022
Earlier work this paper cites.
A. Majumdar, G. Aggarwal, B. Devnani, J. Hoffman, and D. Batra, “Zson: Zero-shot object-goal navigation using multimodal goal embeddings,”
2022
Earlier work this paper cites.
K. He, X. Chen, S. Xie, Y. Li, P. Dollár, and R. Girshick, “Masked autoencoders are scalable vision learners,” in
2022
Earlier work this paper cites.
N. M. Shafiullah, Z. Cui, A. A. Altanzaya, and L. Pinto, “Behavior transformers: Cloning
2022
Earlier work this paper cites.
K. Ehsani, T. Gupta, R. Hendrix, J. Salvador, L. Weihs, K.-H. Zeng, K. P. Singh, Y. Kim, W. Han, A. Herrasti,
Original
2023
Earlier work this paper cites.

Similar

A. Sridhar, D. Shah, C. Glossop, and S. Levine, “Nomad: Goal masked diffusion policies for navigation and exploration,”
Original
2023
Cited alongside, same era.
A. Rajvanshi, K. Sikka, X. Lin, B. Lee, H.-P. Chiu, and A. Velasquez, “Saynav: Grounding large language models for dynamic planning to navigation in new environments,”
Original
2023
Cited alongside, same era.
D. Shah, A. Sridhar, A. Bhorkar, N. Hirose, and S. Levine, “Gnm: A general navigation model to drive any robot,” in
2023
Cited alongside, same era.
M. Chang, T. Gervet, M. Khanna, S. Yenamandra, D. Shah, S. Y. Min, K. Shah, C. Paxton, S. Gupta, D. Batra,
Original
2023
Cited alongside, same era.
D. Shah, M. R. Equi, B. Osiński, F. Xia, B. Ichter, and S. Levine, “Navigation with large language models: Semantic guesswork as a heuristic for planning,” in

Then

J. Krantz, T. Gervet, K. Yadav, A. Wang, C. Paxton, R. Mottaghi, D. Batra, J. Malik, S. Lee, and D. S. Chaplot, “Navigating to objects specified by images,” in
2023
Later among the works it cites.
J. Wasserman, K. Yadav, G. Chowdhary, A. Gupta, and U. Jain, “Last-mile embodied visual navigation,” in
2023
Later among the works it cites.
J. Lin, L. Liu, D. Lu, and K. Jia, “Sam-6d: Segment anything model meets zero-shot 6d object pose estimation,”
Original
2023
Later among the works it cites.
N. Yokoyama, A. Clegg, J. Truong, E. Undersander, T.-Y. Yang, S. Arnaud, S. Ha, D. Batra, and A. Rai, “Asc: Adaptive skill coordination for robotic mobile manipulation,”
2023
Later among the works it cites.
X. Huang, D. Batra, A. Rai, and A. Szot, “Skill transformer: A monolithic policy for mobile manipulation,” in
2023

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Aim My Robot: Precision Local Navigation to Any Object · Around

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R. C. Conlter, “Implementation of the pure pursuit path’hcking algorithm,”
1992
Earlier work this paper cites.
D. Fox, W. Burgard, F. Dellaert, and S. Thrun, “Monte carlo localization: Efficient position estimation for mobile robots,”
1999
Earlier work this paper cites.
T. A. Tamba, B. Hong, and K.-S. Hong, “A path following control of an unmanned autonomous forklift,”
2009
Earlier work this paper cites.
S. Ross, G. Gordon, and D. Bagnell, “A reduction of imitation learning and structured prediction to no-regret online learning,” in
2011
Earlier work this paper cites.
X. Meng, N. Ratliff, Y. Xiang, and D. Fox, “Scaling local control to large-scale topological navigation,” in
2020
Earlier work this paper cites.
C. R. Garrett, T. Lozano-Pérez, and L. P. Kaelbling, “Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,” in
2020
Earlier work this paper cites.
M. P. Strub and J. D. Gammell, “Adaptively informed trees (ait*): Fast asymptotically optimal path planning through adaptive heuristics,” in
2020
Earlier work this paper cites.
D. S. Chaplot, D. P. Gandhi, A. Gupta, and R. R. Salakhutdinov, “Object goal navigation using goal-oriented semantic exploration,”
2020
Earlier work this paper cites.
NVIDIA, “Nvidia isaac sim,”
2021
Earlier work this paper cites.
J. Krantz, S. Lee, J. Malik, D. Batra, and D. S. Chaplot, “Instance-specific image goal navigation: Training embodied agents to find object instances,”
Original
2022
Earlier work this paper cites.
A. Majumdar, G. Aggarwal, B. Devnani, J. Hoffman, and D. Batra, “Zson: Zero-shot object-goal navigation using multimodal goal embeddings,”
2022
Earlier work this paper cites.
K. He, X. Chen, S. Xie, Y. Li, P. Dollár, and R. Girshick, “Masked autoencoders are scalable vision learners,” in
2022
Earlier work this paper cites.
N. M. Shafiullah, Z. Cui, A. A. Altanzaya, and L. Pinto, “Behavior transformers: Cloning
2022
Earlier work this paper cites.
K. Ehsani, T. Gupta, R. Hendrix, J. Salvador, L. Weihs, K.-H. Zeng, K. P. Singh, Y. Kim, W. Han, A. Herrasti,
Original
2023
Earlier work this paper cites.

Similar

A. Sridhar, D. Shah, C. Glossop, and S. Levine, “Nomad: Goal masked diffusion policies for navigation and exploration,”
Original
2023
Cited alongside, same era.
A. Rajvanshi, K. Sikka, X. Lin, B. Lee, H.-P. Chiu, and A. Velasquez, “Saynav: Grounding large language models for dynamic planning to navigation in new environments,”
Original
2023
Cited alongside, same era.
D. Shah, A. Sridhar, A. Bhorkar, N. Hirose, and S. Levine, “Gnm: A general navigation model to drive any robot,” in
2023
Cited alongside, same era.
M. Chang, T. Gervet, M. Khanna, S. Yenamandra, D. Shah, S. Y. Min, K. Shah, C. Paxton, S. Gupta, D. Batra,
Original
2023
Cited alongside, same era.
D. Shah, M. R. Equi, B. Osiński, F. Xia, B. Ichter, and S. Levine, “Navigation with large language models: Semantic guesswork as a heuristic for planning,” in

Then

J. Krantz, T. Gervet, K. Yadav, A. Wang, C. Paxton, R. Mottaghi, D. Batra, J. Malik, S. Lee, and D. S. Chaplot, “Navigating to objects specified by images,” in
2023
Later among the works it cites.
J. Wasserman, K. Yadav, G. Chowdhary, A. Gupta, and U. Jain, “Last-mile embodied visual navigation,” in
2023
Later among the works it cites.
J. Lin, L. Liu, D. Lu, and K. Jia, “Sam-6d: Segment anything model meets zero-shot 6d object pose estimation,”
Original
2023
Later among the works it cites.
N. Yokoyama, A. Clegg, J. Truong, E. Undersander, T.-Y. Yang, S. Arnaud, S. Ha, D. Batra, and A. Rai, “Asc: Adaptive skill coordination for robotic mobile manipulation,”
2023
Later among the works it cites.
X. Huang, D. Batra, A. Rai, and A. Szot, “Skill transformer: A monolithic policy for mobile manipulation,” in
2023

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