Fetching the paper…
Reading the bibliography…
An open problem in mobile manipulation is how to represent objects and scenes in a unified manner so that robots can use both for navigation and manipulation.
“Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration”
Arash Asgharivaskasi and Nikolay Atanasov · 1928
Earlier work this paper cites.
“A density-based algorithm for discovering clusters in large spatial databases with noise”
Martin Ester, Hans-Peter Kriegel, J“”org Sander and Xiaowei Xu · 1996
Earlier work this paper cites.
“Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning”
Leslie Kaelbling and Tomas Lozano-Perez · 2012
Earlier work this paper cites.
“The Open Motion Planning Library”
Ioan. Sucan, Mark Moll and Lydia. Kavraki · 2012
Earlier work this paper cites.
“Scannet: Richly-annotated 3d reconstructions of indoor scenes”
Angela Dai, Angel Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser and Matthias Niener · 2017
Earlier work this paper cites.
“Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias”
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi and Lerrel Pinto · 2018
Earlier work this paper cites.
“Stable bin packing of non-convex 3D objects with a robot manipulator”
Fan Wang and Kris Hauser · 2019
Earlier work this paper cites.
“Go Fetch: Mobile Manipulation in Unstructured Environments”
Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Forster, Margarita Grinvald, Florian Tschopp, Jen Chung, Lionel Ott, Juan Nieto and Roland Siegwart · 2020
Earlier work this paper cites.
“Object Goal Navigation using Goal-Oriented Semantic Exploration”
Devendra Chaplot, Dhiraj Gandhi, Abhinav Gupta and Ruslan Salakhutdinov · 2020
Earlier work this paper cites.
“Implicit Geometric Regularization for Learning Shapes”
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon and Yaron Lipman · 2020
Earlier work this paper cites.
“NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis”
Ben Mildenhall, Pratul. Srinivasan, Matthew Tancik, Jonathan. Barron, Ravi Ramamoorthi and Ren Ng · 2020
Earlier work this paper cites.
“Emerging Properties in Self-Supervised Vision Transformers”
Mathilde Caron, Hugo Touvron, Ishan Misra, Herv“’e J“’egou, Julien Mairal, Piotr Bojanowski and Armand Joulin · 2021
Earlier work this paper cites.
“Learning transferable visual models from natural language supervision”
Alec Radford, Jong Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin and Jack Clark · 2021
Earlier work this paper cites.
“Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation”
Charles Sun, Jędrzej Orbik, Brian Coline, Abhishek Gupta, Glen Berseth and Sergey Levine · 2021
Earlier work this paper cites.
“Advances in Neural Rendering”
A. Tewari et al · 2021
Earlier work this paper cites.
“Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems”
Yulun Tian, Yun Chang, Fernando Herrera, Carlos Nieto-Granda, Jonathan. How and Luca Carlone · 2021
Earlier work this paper cites.
“GRF: Learning a General Radiance Field for 3D Representation and Rendering”
Alex Trevithick and Bo Yang · 2021
Earlier work this paper cites.
“Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction”
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura and Wenping Wang · 2021
Earlier work this paper 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 Mart´ın-Mart´ın · 2021
Earlier work this paper cites.
“ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation”
Fei Xia, Chengshu Li, Roberto Martın-Martın, Or Litany, Alexander Toshev and Silvio Savarese · 2021
Earlier work this paper cites.
“pixelnerf: Neural radiance fields from one or few images”
Alex Yu, Vickie Ye, Matthew Tancik and Angjoo Kanazawa · 2021
Earlier work this paper cites.
“Go Fetch! - Dynamic Grasps using Boston Dynamics Spot with External Robotic Arm”
Simon Zimmermann, Roi Poranne and Stelian Coros · 2021
Earlier work this paper cites.
“Decomposing nerf for editing via feature field distillation”
Sosuke Kobayashi, Eiichi Matsumoto and Vincent Sitzmann · 2022
Cited alongside, same era.
“iSDF: Real-Time Neural Signed Distance Fields for Robot Perception”
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny, Michael Zollhoefer and Mustafa Mukadam · 2022
Cited alongside, same era.
“Real-time Semantic 3D Reconstruction for High-Touch Surface Recognition for Robotic Disinfection”
Ri-Zhao Qiu, Yixiao Sun, Joao Marcos Marques and Kris Hauser · 2022
Cited alongside, same era.
“LOLNeRF: Learn from One Look”
Daniel Rebain, Mark Matthews, Kwang Yi, Dmitry Lagun and Andrea Tagliasacchi · 2022
Cited alongside, same era.
“High-resolution image synthesis with latent diffusion models”
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser and Bj“”orn Ommer · 2022
Cited alongside, same era.
“HybVIO: Pushing the limits of real-time visual-inertial odometry”
“ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs”
Jiteng Mu, Shen Sang, Nuno Vasconcelos and Xiaolong Wang · 2023
Later among the works it cites.
“Dinov2: Learning robust visual features without supervision”
Maxime Oquab, Timoth“’ee Darcet, Th“’eo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa and Alaaeldin El-Nouby · 2023
Later among the works it cites.
“SLAP: Spatial-Language Attention Policies”
Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil1, Sam Powers, Yonathan Bisk and Chris Paxton · 2023
Later among the works it cites.
“Kinematically-Decoupled Impedance Control for Fast Object Visual Servoing and Grasping on Quadruped Manipulators”
Riccardo Parosi, Mattia Risiglione, Darwin. Caldwell, Claudio Semini and Victor Barasuol · 2023
Later among the works it cites.
“Language embedded radiance fields for zero-shot task-oriented grasping”
Adam Rashid, Satvik Sharma, Chung Kim, Justin Kerr, Lawrence Chen, Angjoo Kanazawa and Ken Goldberg · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu and Arno Solin · 2022
Cited alongside, same era.
“Neural Feature Fusion Fields: 3D distillation of self-supervised 2D image representations”
Vadim Tschernezki, Iro Laina, Diane Larlus and Andrea Vedaldi · 2022
Cited alongside, same era.
“Extract free dense labels from clip”
Chong Zhou, Chen Loy and Bo Dai · 2022
Cited alongside, same era.
“Zip-NeRF: Anti-aliased grid-based neural radiance fields”
Jonathan Barron, Ben Mildenhall, Dor Verbin, Pratul Srinivasan and Peter Hedman · 2023
Cited alongside, same era.
“Open-vocabulary queryable scene representations for real world planning”
Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael Ryoo, Austin Stone and Daniel Kappler · 2023
Cited alongside, same era.
“3D RECONSTRUCTION WITH GENERALIZABLE NEURAL FIELDS USING SCENE PRIORS”
Yang Fu, Shalini De, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang and Sifei Liu · 2023
Cited alongside, same era.
“Multi-skill Mobile Manipulation for Object Rearrangement”
Jiayuan Gu, Devendra Chaplot, Hao Su and Jitendra Malik · 2023
Cited alongside, same era.
Later among the works it cites.
“GNM: A General Navigation Model to Drive Any Robot”
Dhruv Shah, Ajay Sridhar, Arjun Bhorkar, Noriaki Hirose and Sergey Levine · 2023
Later among the works it cites.
“ViNT: A Foundation Model for Visual Navigation”
Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose and Sergey Levine · 2023
Later among the works it cites.
“Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation”
William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Kaelbling and Phillip Isola · 2023
Later among the works it cites.
“Open-World Object Manipulation using Pre-Trained Vision-Language Model”
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn and Karol Hausman · 2023
Later among the works it cites.
“Is Attention All That NeRF Needs?”
Mukund Varma, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan and Zhangyang Wang · 2023
Later among the works it cites.
“F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories”
Peng Wang, Yuan Liu, Zhaoxi Chen, Lingjie Liu, Ziwei Liu, Taku Komura, Christian Theobalt and Wenping Wang · 2023
Later among the works it cites.
“TidyBot: Personalized Robot Assistance with Large Language Models”
Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz and Thomas Funkhouser · 2023
Later among the works it cites.
“FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models”
Jianglong Ye, Naiyan Wang and Xiaolong Wang · 2023
Later among the works it cites.
“HomeRobot: Open-Vocabulary Mobile Manipulation”
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin Wang, Mukul Khanna, Theophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg and John Turner · 2023
Later among the works it cites.
“ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation”
Naoki Yokoyama, Alex Clegg, Joanne Truong, Eric Undersander, Tsung-Yen Yang, Sergio Arnaud, Sehoon Ha, Dhruv Batra and Akshara Rai · 2023
Later among the works it cites.
“GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields”
Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Li and Xiaolong Wang · 2023
Later among the works it cites.
“GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion”
Jiazhao Zhang, Nandiraju Gireesh, Jilong Wang, Xiaomeng Fang, Chaoyi Xu, Weiguang Chen, Liu Dai and He Wang · 2023
Later among the works it cites.
Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta and Shubham Tulsiani · 2024
Closest in time.
“Ok-robot: What really matters in integrating open-knowledge models for robotics”
Peiqi Liu, Yaswanth Orru, Chris Paxton, Nur Muhammad Shafiullah and Lerrel Pinto · 2024
Closest in time.
“Clio: Real-time Task-Driven Open-Set 3D Scene Graphs”
Dominic Maggio, Yun Chang, Nathan Hughes, Matthew Trang, Dan Griffith, Carlyn Dougherty, Eric Cristofalo, Lukas Schmid and Luca Carlone · 2024
Closest in time.
“Vlfm: Vision-language frontier maps for zero-shot semantic navigation”
Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang and Bernadette Bucher · 2024
Closest in time.