Fetching the paper…
Reading the bibliography…
While there has been remarkable progress recently in the fields of manipulation and locomotion, mobile manipulation remains a long-standing challenge.
A formal basis for the heuristic determination of minimum cost paths
Peter E Hart, Nils J Nilsson, and Bertram Raphael · 1968
Earlier work this paper cites.
The potential field approach and operational space formulation in robot control
Oussama Khatib · 1986
Earlier work this paper cites.
Backpropagation through time: what it does and how to do it
Paul J Werbos · 1990
Earlier work this paper cites.
An introduction to the kalman filter
Greg Welch, Gary Bishop, et al · 1995
Earlier work this paper cites.
Estimating the absolute position of a mobile robot using position probability grids
Wolfram Burgard, Dieter Fox, Daniel Hennig, and Timo Schmidt · 1996
Earlier work this paper cites.
Acting under uncertainty: Discrete bayesian models for mobile-robot navigation
Anthony R Cassandra, Leslie Pack Kaelbling, and James A Kurien · 1996
Earlier work this paper cites.
An experimental comparison of localization methods
J-S Gutmann, Wolfram Burgard, Dieter Fox, and Kurt Konolige · 1998
Earlier work this paper cites.
Sequential monte carlo methods for dynamic systems
Jun S Liu and Rong Chen · 1998
Earlier work this paper cites.
Markov localization for mobile robots in dynamic environments
Dieter Fox, Wolfram Burgard, and Sebastian Thrun · 1999
Earlier work this paper cites.
Bayesian estimation and kalman filtering: A unified framework for mobile robot localization
Stergios I Roumeliotis and George A Bekey · 2000
Earlier work this paper cites.
Rapidly-exploring random trees: Progress and prospects
Steven M LaValle, James J Kuffner, BR Donald, et al · 2001
Earlier work this paper cites.
Robust monte carlo localization for mobile robots
Sebastian Thrun, Dieter Fox, Wolfram Burgard, and Frank Dellaert · 2001
Earlier work this paper cites.
Particle filters in robotics
Sebastian Thrun · 2002
Earlier work this paper cites.
Design and use paradigms for gazebo, an open-source multi-robot simulator
N. Koenig and A. Howard · 2004
Earlier work this paper cites.
Mobile robot simultaneous localization and mapping in dynamic environments
Denis F Wolf and Gaurav S Sukhatme · 2005
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell · 2011
Cited alongside, same era.
Orb-slam: a versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
Cited alongside, same era.
Cognitive mapping and planning for visual navigation
Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, and Jitendra Malik · 2017
Cited alongside, same era.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Cited alongside, same era.
In defense of classical image processing: Fast depth completion on the cpu
Jason Ku, Ali Harakeh, and Steven L Waslander · 2018
Cited alongside, same era.
Isaac gym: High performance gpu-based physics simulation for robot learning, 2021
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, and Gavriel State · 2021
Later among the works it cites.
Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, et al · 2022
Later among the works it cites.
Rt-1: Robotics transformer for real-world control at scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, et al · 2022
Later among the works it cites.
Bayesian imitation learning for end-to-end mobile manipulation
Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, and Mohi Khansari · 2022
Later among the works it cites.
A holistic approach to reactive mobile manipulation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Muhamad Risqi U Saputra, Andrew Markham, and Niki Trigoni · 2018
Cited alongside, same era.
Ds-slam: A semantic visual slam towards dynamic environments
Chao Yu, Zuxin Liu, Xin-Jun Liu, Fugui Xie, Yi Yang, Qi Wei, and Qiao Fei · 2018
Cited alongside, same era.
Learning exploration policies for navigation
Tao Chen, Saurabh Gupta, and Abhinav Gupta · 2019
Cited alongside, same era.
Rtab-map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation
Mathieu Labbé and François Michaud · 2019
Cited alongside, same era.
Openvslam: A versatile visual slam framework
Shinya Sumikura, Mikiya Shibuya, and Ken Sakurada · 2019
Cited alongside, same era.
Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames
Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, and Dhruv Batra · 2019
Cited alongside, same era.
Learning to explore using active neural slam
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, and Ruslan Salakhutdinov · 2020
Cited alongside, same era.
Jesse Haviland, Niko Sünderhauf, and Peter Corke · 2022
Later among the works it cites.
Stubborn: A strong baseline for indoor object navigation
Haokuan Luo, Albert Yue, Zhang-Wei Hong, and Pulkit Agrawal · 2022
Later among the works it cites.
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, and Marco Hutter · 2022
Later among the works it cites.
Error-aware imitation learning from teleoperation data for mobile manipulation
Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, and Roberto Martín-Martín · 2022
Later among the works it cites.
Legged locomotion in challenging terrains using egocentric vision
Ananye Agarwal, Ashish Kumar, Jitendra Malik, and Deepak Pathak · 2023
Later among the works it cites.
Enabling failure recovery for on-the-move mobile manipulation
Ben Burgess-Limerick, Chris Lehnert Jurgen Leitner, and Peter Corke · 2023
Later among the works it cites.
Matthew Chang, Theophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, et al · 2023
Later among the works it cites.
Deep whole-body control: learning a unified policy for manipulation and locomotion
Zipeng Fu, Xuxin Cheng, and Deepak Pathak · 2023
Later among the works it cites.
Causal policy gradient for whole-body mobile manipulation
Jiaheng Hu, Peter Stone, and Roberto Martín-Martín · 2023
Later among the works it cites.
Adaptive skill coordination for robotic mobile manipulation
Naoki Yokoyama, Alexander William Clegg, Eric Undersander, Sehoon Ha, Dhruv Batra, and Akshara Rai · 2023
Later among the works it cites.