RoboPaper Atlas

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summary 2 cols 25 rows

FieldValue
Citations as of2026-08-16
Total papers93649
T-RO3515
IJRR2680
Sci-Rob916
T-FR106
SoRo835
T-Mech6293
T-ASE5849
RAM1715
RA-L10730
RA-P28
RSS1472
ICRA30612
IROS26594
CoRL1257
iSpaRo154
SSRR893
Year range1984 ~ 2026
With DOI92392 (98.7%)
With abstract91122 (97.3%)
With citation count93558 (99.9%)
Total citations3378367
Mean citations36.1
Median citations13

by_year_pivot 18 cols 43 rows

yearCoRLICRAIJRRIROSRA-LRA-PRAMRSSSSRRSci-RobSoRoT-ASET-FRT-MechT-ROiSpaRototal
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by_year_detail 8 cols 317 rows · showing first 30

yearvenuepaperswith_doiwith_abstracttotal_citationsmean_citationsabstract_coverage_%
2026IJRR4747432936.491.5
2026RA-L13271327122810980.892.5
2026RA-P242417170.870.8
2026RAM484828731.658.3
2026Sci-Rob595952280.588.1
2026SoRo51514640.190.2
2026T-ASE760760567910.174.6
2026T-FR303015110.450.0
2026T-Mech4304301781310.341.4
2026T-RO1651651514422.791.5
2025CoRL2630243650026.392.4
2025ICRA16041604157691175.798.3
2025IJRR989898476048.6100.0
2025IROS19851985198138691.999.8
2025RA-L15771577148768254.394.3
2025RA-P44420.5100.0
2025RAM8686472653.154.7
2025RSS163163996734.160.7
2025SSRR363636120.3100.0
2025Sci-Rob13013013012089.3100.0
2025SoRo7676621301.781.6
2025T-ASE12261226119738413.197.6
2025T-FR4343431363.2100.0
2025T-Mech62462459114292.394.7
2025T-RO36436432930928.590.4
2025iSpaRo989898180.2100.0
2024CoRL26502131466255.780.4
2024ICRA1760176017592102311.999.9
2024IJRR949492229924.597.9
2024IROS15811581158090875.799.9
+ 287 more rows — download the xlsx to see all 317.

top_cited_100 6 cols 100 rows · showing first 30

venueyeartitleauthorscited_by_countdoi
IJRR2013Vision meets robotics: The KITTI datasetAndreas Geiger; Philip Lenz; Christoph Stiller; Raquel Urtasun1023510.1177/0278364913491297
T-RO2015ORB-SLAM: A Versatile and Accurate Monocular SLAM SystemRaul Mur-Artal; J. M. M. Montiel; Juan D. Tardós720610.1109/tro.2015.2463671
IROS2012MuJoCo: A physics engine for model-based controlEmanuel Todorov; Tom Erez; Yuval Tassa706310.1109/iros.2012.6386109
T-RO2017ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D CamerasRaul Mur-Artal; Juan D. Tardós625710.1109/tro.2017.2705103
IJRR2011Sampling-based algorithms for optimal motion planningSertac Karaman; Emilio Frazzoli537710.1177/0278364911406761
ICRA20113D is here: Point Cloud Library (PCL)Radu Bogdan Rusu; Steve Cousins528710.1109/icra.2011.5980567
ICRA1991Object modeling by registration of multiple range imagesYang Chen; Gérard G. Medioni468210.1109/robot.1991.132043
T-RO2018VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State EstimatorTong Qin; Peiliang Li; Shaojie Shen416710.1109/tro.2018.2853729
RAM2006Simultaneous localization and mapping: part IHugh F. Durrant-Whyte; Tim Bailey415010.1109/mra.2006.1638022
IROS2012A benchmark for the evaluation of RGB-D SLAM systemsJürgen Sturm; Nikolas Engelhard; Felix Endres; Wolfram Burgard; Daniel Cremers411810.1109/iros.2012.6385773
ICRA1999Randomized Kinodynamic PlanningSteven M. LaValle; James J. Kuffner Jr.410810.1109/robot.1999.770022
ICRA2009Fast Point Feature Histograms (FPFH) for 3D registrationRadu Bogdan Rusu; Nico Blodow; Michael Beetz406510.1109/robot.2009.5152473
T-RO2021ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial, and Multimap SLAMCarlos Campos; Richard Elvira; Juan J. Gómez Rodríguez; José M. M. Montiel; Juan D. Tardós401710.1109/tro.2021.3075644
ICRA2000RRT-Connect: An Efficient Approach to Single-Query Path PlanningJames J. Kuffner Jr.; Steven M. LaValle396210.1109/robot.2000.844730
CoRL2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic ControlBrianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu; Ted Xiao; Fei Xia; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; Huong T. Tran; Radu Soric…3901—
RAM1997The dynamic window approach to collision avoidanceDieter Fox; Wolfram Burgard; Sebastian Thrun387910.1109/100.580977
IROS2004Design and use paradigms for Gazebo, an open-source multi-robot simulatorNathan P. Koenig; Andrew Howard373010.1109/iros.2004.1389727
IJRR1990Passive Dynamic WalkingTad McGeer368610.1177/027836499000900206
IJRR2013Reinforcement learning in robotics: A surveyJens Kober; J. Andrew Bagnell; Jan Peters368510.1177/0278364913495721
IROS2015VoxNet: A 3D Convolutional Neural Network for real-time object recognitionDaniel Maturana; Sebastian A. Scherer365110.1109/iros.2015.7353481
IROS2017Domain randomization for transferring deep neural networks from simulation to the real worldJosh Tobin; Rachel Fong; Alex Ray; Jonas Schneider; Wojciech Zaremba; Pieter Abbeel360810.1109/iros.2017.8202133
CoRL2022Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesBrian Ichter; Anthony Brohan; Yevgen Chebotar; Chelsea Finn; Karol Hausman; Alexander Herzog; Daniel Ho; Julian Ibarz; Alex Irpan; Eric Jang; Ryan Julian; Dmitry Kalashnikov; Serge…3519—
T-RO2016Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception AgeCesar Cadena; Luca Carlone; Henry Carrillo; Yasir Latif; Davide Scaramuzza; José Neira; Ian Reid; John J. Leonard331310.1109/tro.2016.2624754
IJRR2001Randomized Kinodynamic PlanningSteven M. LaValle; James J. Kuffner Jr.322110.1177/02783640122067453
RSS2014LOAM: Lidar Odometry and Mapping in Real-timeJi Zhang; Sanjiv Singh304310.15607/rss.2014.x.007
CoRL2024OpenVLA: An Open-Source Vision-Language-Action ModelMoo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair; Rafael Rafailov; Ethan Paul Foster; Pannag R. Sanketi; Quan Vuong; Thomas Kollar; Benjami…3024—
IJRR2025Diffusion policy: Visuomotor policy learning via action diffusionCheng Chi; Zhenjia Xu; Siyuan Feng; Eric Cousineau; Yilun Du; Benjamin Burchfiel; Russ Tedrake; Shuran Song287810.1177/02783649241273668
T-RO2004Coverage control for mobile sensing networksJorge Cortés; Sonia Martínez; Timur Karatas; Francesco Bullo286810.1109/tra.2004.824698
IROS1995Series elastic actuatorsGill A. Pratt; Matthew M. Williamson257410.1109/iros.1995.525827
T-RO2007Improved Techniques for Grid Mapping With Rao-Blackwellized Particle FiltersGiorgio Grisetti; Cyrill Stachniss; Wolfram Burgard253110.1109/tro.2006.889486
+ 70 more rows — download the xlsx to see all 100.

papers 13 cols 93,649 rows · showing first 30

venueyeartitleauthorsabstractcited_by_countconceptsdoieepagesdblp_keyopenalex_idvenues_all
IJRR20263-D relative localization for multi-robot systems with angle and self-displacement measurementsChenyang Liang; Liangming Chen; Baoyi Cui; Jie MeiInter-robot relative localization (including positions and orientations) is necessary for multi-robot systems to execute collaborative tasks. Realizing relative localization by lev…1.0Computer Science10.1177/02783649251363276https://doi.org/10.1177/02783649251363276552-582journals/ijrr/LiangCCM26—IJRR
IJRR2026A novel electromagnetic variable stiffness actuator for robotic grinding: Design, modeling, optimization, and controlXu Tang; Jixiang Yang; Han DingRobotic grinding relies on precise force control to ensure material removal precision and surface quality, particularly in thin-walled workpieces with varying stiffness. This paper…6.0Actuator; Stiffness; Control engineering; Grinding; Control theory (sociology)10.1177/02783649251347661https://doi.org/10.1177/02783649251347661259-284journals/ijrr/TangYD26https://openalex.org/W4411582533IJRR
IJRR2026ATOM: Design and development of a novel two-actuator hybrid land-air robotHitesh Bhardwaj; Luke Soe Thura Win; Shane Kyi Hla Win; Xinyu Cai; Shaohui FoongThis paper introduces a novel robot designed to exhibit two distinct modes of mobility: rotational aerial flight and terrestrial locomotion. This versatile robot comprises a sturdy…2.0Actuator; Robot; Atom (system on chip); Development (topology); Control engineering10.1177/02783649251344968https://doi.org/10.1177/0278364925134496880-99journals/ijrr/BhardwajWWCF26https://openalex.org/W4411134505IJRR
IJRR2026An eight-neuron network for quadruped locomotion with hip-knee joint controlYide Liu; Xiyan Liu; Dongqi Wang; Wei Yang; Shaoxing QuThe gait generator, which is capable of producing rhythmic signals for coordinating multiple joints, is an essential component in the quadruped robot locomotion control framework.…0.0Computer Science10.1177/02783649251364286https://doi.org/10.1177/02783649251364286602-627journals/ijrr/LiuLWYQ26—IJRR
IJRR2026Analytical derivatives of strain-based dynamic model for hybrid soft-rigid robotsAnup Teejo Mathew; Frédéric Boyer; Vincent Lebastard; Federico RendaAlgorithms that use derivatives of governing equations have accelerated rigid robot simulations and improved their accuracy, enabling the modeling of complex, real-world capabiliti…5.0Robot; Soft robotics; Computer science; Strain (injury); Control theory (sociology)10.1177/02783649251346209https://doi.org/10.1177/02783649251346209128-158journals/ijrr/MathewBLR26https://openalex.org/W4411735231IJRR
IJRR2026Autonomous aerial manipulation at arbitrary pose in SE(3) with robust control and whole-body planningDongjae Lee; Byeongjun Kim; Hyoun Jin KimAerial manipulators based on conventional multirotors can conduct manipulation only in small roll and pitch angles due to the underactuatedness of the multirotor base. If the multi…6.0Computer Science10.1177/02783649251378195https://doi.org/10.1177/027836492513781951021-1045journals/ijrr/LeeKK26—IJRR
IJRR2026Bionic jellyfish robot achieving enhanced steering maneuverability through asymmetric tentaclesTao Zhang; Xiongqian Wu; Wei Wang; Xueqin Zheng; Qianqian Chen; Haifei Zhu; Yisheng Guan; Kun Xu; Xilun DingWith the rapid advancement of the marine industry, bionic robots have become increasingly important to underwater scientific research and engineering applications. As representativ…1.0Computer Science10.1177/02783649251377101https://doi.org/10.1177/02783649251377101910-937journals/ijrr/ZhangWWZCZGXD26—IJRR
IJRR2026Configuration identification of on-demand variable stiffness strain-limiting layers in zig-zag soft pneumatic actuators using deep learning methodsPalpolage Don Shehan Hiroshan Gunawardane; Duhyeon Lee; Phoebe Cheung; Hao Zhou; Gürsel Alici; Mu ChiaoSoft pneumatic actuators (SPAs) typically offer a fixed trajectory, resulting in one specific tip motion for a given range of pressure. When multiple trajectories are needed, these…5.0Medicine; Computer Science10.1177/02783649251364287https://doi.org/10.1177/02783649251364287628-644journals/ijrr/GunawardaneLCZAC26—IJRR
IJRR2026Design of LIGHTDOG: A high payload-to-weight, hose-less hydraulic quadrupedal robotSeunghoon Shin; Seungwoo Hong; Min-Su Kim; Jun-Ho Oh; Hae-Won ParkThis paper presents LIGHTDOG, a torque-controlled, hydraulically-actuated quadrupedal robot designed for a high power-to-weight ratio and substantial payload capabilities. Hydrauli…1.0Payload (computing); Robot; Quadrupedalism; Engineering; Computer science10.1177/02783649251349225https://doi.org/10.1177/02783649251349225285-307journals/ijrr/ShinHKOP26https://openalex.org/W4411625853IJRR
IJRR2026Domains as objectives: Domain-uncertainty-aware policy optimization through explicit multi-domain convex coverage set learningWendyam Eric Lionel Ilboudo; Taisuke Kobayashi; Takamitsu MatsubaraUncertainty is inherent in real-world robotics problems, and any control framework must address it to succeed in practical applications. Reinforcement Learning is no different, and…0.0Domain (mathematical analysis); Set (abstract data type); Computer science; Mathematical optimization; Regular polygon10.1177/02783649251358844https://doi.org/10.1177/02783649251358844397-451journals/ijrr/IlboudoKM26https://openalex.org/W4413361989IJRR
IJRR2026Dynamic wind-up locomotion enabled by embodied intelligenceChang Liu; Mark M. PlecnikRepetitive subtasks of locomotion are offloaded from a conventional computer-actuator-sensor set-up to automatic mechanical processes. The subtasks considered are: (1) when out-of-…1.0Embodied cognition; Computer science; Engineering; Human–computer interaction; Control engineering10.1177/02783649251360814https://doi.org/10.1177/02783649251360814501-521journals/ijrr/LiuP26https://openalex.org/W4413841627IJRR
IJRR2026Exciting families of passive gaits in an elastic quadruped via natural motion manifold controlDavide Calzolari; Cosimo Della Santina; Alin Albu-SchäfferMotivated by the need for efficiency and robustness in repetitive robotic tasks such as locomotion, this study introduces the concept of Natural Motion Manifolds (NMMs) and present…3.0Motion (physics); Manifold (fluid mechanics); Control theory (sociology); Natural (archaeology); Control (management)10.1177/02783649251347305https://doi.org/10.1177/02783649251347305233-258journals/ijrr/CalzolariSA26https://openalex.org/W4411655366IJRR
IJRR2026Extended neural contractive dynamical systems: On multiple tasks and Riemannian safety regionsHadi Beik-Mohammadi; Søren Hauberg; Georgios Arvanitidis; Gerhard Neumann; Leonel RozoStability guarantees are crucial when ensuring that a fully autonomous robot does not take undesirable or potentially harmful actions. We recently proposed the Neural Contractive D…1.0Computer Science10.1177/02783649251366326https://doi.org/10.1177/02783649251366326714-745journals/ijrr/BeikMohammadiHANR26—IJRR
IJRR2026GRADE: Generating Realistic and Dynamic Environments for robotics research with Isaac SimElia Bonetto; Chenghao Xu; Aamir AhmadPhotorealistic synthetic data and novel rendering techniques significantly advanced computer vision research. However, datasets focused on computer vision applications cannot be ea…11.0Robotics; Artificial intelligence; Computer science; Human–computer interaction; Robot10.1177/02783649251346211https://doi.org/10.1177/02783649251346211204-232journals/ijrr/BonettoXA26https://openalex.org/W4411616910IJRR
IJRR2026Hardware-in-the-loop for characterization of embedded state estimation for flying microrobotsAryan Naveen; Jalil Morris; Christian Chan; Daniel Mhrous; E. Farrell Helbling; Nak-seung Patrick Hyun; Gage Hills; Robert J. WoodAutonomous flapping-wing micro-aerial vehicles (FWMAV) have a host of potential applications such as environmental monitoring, artificial pollination, and search and rescue operati…5.0Computer Science; Engineering10.1177/02783649251377337https://doi.org/10.1177/02783649251377337968-980journals/ijrr/NaveenMCMHHHW26—IJRR
IJRR2026Heterogeneous LiDAR dataset for benchmarking robust localization in diverse degenerate scenariosZhiqiang Chen; Yuhua Qi; Dapeng Feng; Xuebin Zhuang; Hongbo Chen; Xiangcheng Hu; Jin Wu; Kelin Peng; Peng LuThe ability to estimate pose and generate maps using 3D LiDAR significantly enhances robotic system autonomy. However, existing open-source datasets lack representation of geometri…36.0Benchmarking; Lidar; Computer science; Artificial intelligence; Machine learning10.1177/02783649251344967https://doi.org/10.1177/027836492513449676-22journals/ijrr/ChenQFZCHWPL26https://openalex.org/W4411136809IJRR
IJRR2026Hierarchical task decomposition for execution monitoring and error recovery: Understanding the rationale behind task demonstrationsChristoph Willibald; Dongheui LeeMulti-step manipulation tasks where robots interact with their environment and must apply process forces based on the perceived situation remain challenging to learn and prone to e…5.0Computer science; Anomaly detection; Artificial intelligence; Task (project management); Cluster analysis10.1177/02783649251352112https://doi.org/10.1177/02783649251352112369-396journals/ijrr/WillibaldL26https://openalex.org/W7110322758IJRR
IJRR2026IMA-catcher: An IMpact-aware nonprehensile catching framework based on combined optimization and learningFrancesco Tassi; Jianzhuang Zhao; Gustavo J. G. Lahr; Luna Gava; Marco Monforte; Arren Glover; Chiara Bartolozzi; Arash AjoudaniRobotic catching of flying objects typically generates high-impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass t…3.0Robot; Computer science; Quadratic programming; Task (project management); Control theory (sociology)10.1177/02783649251345851https://doi.org/10.1177/02783649251345851100-127journals/ijrr/TassiZLGMGBA26https://openalex.org/W4411467075IJRR
IJRR2026Inverse dynamics trajectory optimization for contact-implicit model predictive controlVince Kurtz; Alejandro Castro; Aykut Özgün Önol; Hai LinRobots must make and break contact with the environment to perform useful tasks, but planning and control through contact remains a formidable challenge. In this work, we achieve r…35.0Inverse dynamics; Trajectory; Dynamics (music); Model predictive control; Control theory (sociology)10.1177/02783649251344635https://doi.org/10.1177/0278364925134463523-40journals/ijrr/KurtzCOL26https://openalex.org/W4410879364IJRR
IJRR2026Learning orbitally stable dynamics via transverse contraction criteria for modeling periodic tasksHaoyu Zhang; Long Cheng; Zeyu Liu; Yu ZhangThis paper presents a novel framework for learning orbitally stable nonlinear dynamical systems from demonstrations for rhythmic tasks in robotics. The core innovation is a reprodu…1.0Computer Science10.1177/02783649251369026https://doi.org/10.1177/02783649251369026775-800journals/ijrr/ZhangCLZ26—IJRR
IJRR2026Learning to control a soft robotic manipulator under uncertainty and unforeseen changes in robot-environment interactionZhiqiang Tang; Peiyi Wang; Wenci Xin; Cecilia LaschiSafe and efficient robot–environment interaction is a critical yet challenging problem, particularly in the presence of uncertainty and unforeseen changes. Soft robotics, known for…3.0Robot manipulator; Robot; Control (management); Artificial intelligence; Control engineering10.1177/02783649251360254https://doi.org/10.1177/02783649251360254452-476journals/ijrr/TangWXL26https://openalex.org/W4412758114IJRR
IJRR2026Locomotion and self-reconfiguration autonomy for spherical freeform modular robotsYuxiao Tu; Guanqi Liang; Di Wu; Xinzhuo Li; Tin Lun LamModular robotic systems are multi-robot systems comprising numerous repeated modules and can transform into different configurations. Matching system configurations to a library en…3.0Control reconfiguration; Modular design; Self-reconfiguring modular robot; Robot; Autonomy10.1177/02783649251360360https://doi.org/10.1177/02783649251360360477-500journals/ijrr/TuLWLL26https://openalex.org/W4412886248IJRR
IJRR2026MOANA: Multi-radar dataset for maritime odometry and autonomous navigation applicationHyesu Jang; Wooseong Yang; Hanguen Kim; Dongje Lee; Yongjin Kim; Jinbum Park; Minsoo Jeon; Jaeseong Koh; Yejin Kang; Minwoo Jung; Sangwoo Jung; Ayoung KimMaritime environmental sensing requires overcoming challenges from complex conditions such as harsh weather, platform perturbations, large dynamic objects, and the requirement for…6.0Odometry; Artificial intelligence; Computer science; Radar; Computer vision10.1177/02783649251354897https://doi.org/10.1177/02783649251354897193-203journals/ijrr/JangYKLKPJKKJJK26https://openalex.org/W4412119085IJRR
IJRR2026Model-based control of proprioceptive origami actuators for pneumatic manipulationTaehwa Hong; Jinkyu Yang; Yong-Lae ParkThis paper introduces a novel approach for designing soft robotic manipulators using origami cylinder modules (OCMs) as building blocks. An OCM is defined as a pneumatically actuat…1.0Computer Science10.1177/02783649251366323https://doi.org/10.1177/02783649251366323670-692journals/ijrr/HongYP26—IJRR
IJRR2026Multi-fidelity reinforcement learning for time-optimal quadrotor re-planningGilhyun Ryou; Geoffrey Wang; Sertac KaramanHigh-speed online trajectory planning for UAVs poses a significant challenge due to the need for precise modeling of complex dynamics while also being constrained by computational…4.0Computer Science10.1177/02783649251364393https://doi.org/10.1177/02783649251364393645-669journals/ijrr/RyouWK26—IJRR
IJRR2026NeRFs in robotics: A surveyGuangming Wang; Lei Pan; Songyou Peng; Shaohui Liu; Chenfeng Xu; Yanzi Miao; Wei Zhan; Masayoshi Tomizuka; Marc Pollefeys; Hesheng WangDetailed and realistic 3D environment representations have been a long-standing goal in the fields of computer vision and robotics. The recent emergence of neural implicit represen…23.0Computer Science10.1177/02783649251374246https://doi.org/10.1177/02783649251374246858-892journals/ijrr/WangPPLXMZTPW26—IJRR
IJRR2026NeuSE: Neural SE(3)-equivariant embedding for long-term object-based simultaneous localization and mappingJiahui Fu; Yilun Du; Kurran Singh; Joshua B. Tenenbaum; John J. LeonardWe present NeuSE, a novel Neural SE(3)-Equivariant Embedding for objects, and illustrate how it supports object-based Simultaneous Localization and Mapping (SLAM) for consistent sp…0.0Equivariant map; Term (time); Embedding; Object (grammar); Artificial intelligence10.1177/02783649251355966https://doi.org/10.1177/02783649251355966159-189journals/ijrr/FuDSTL26https://openalex.org/W4413128117IJRR
IJRR2026On the learning-based control of continuum robots with provable robustness, efficiency, and generalizabilityPeng Yu; Ning TanRecent years have witnessed the remarkable advancements in Koopman-operator-based data-driven methods for continuum robot control. However, there is currently a paucity of both the…3.0Generalizability theory; Robustness (evolution); Robot; Artificial intelligence; Computer science10.1177/02783649251351046https://doi.org/10.1177/02783649251351046308-327journals/ijrr/YuT26https://openalex.org/W4411624905IJRR
IJRR2026On-body textile hysteresis estimation for personalized physical human-robot interactionConnor M. McCann; James Arnold; Carolin Lehmacher; Katia Bertoldi; Conor J. WalshNearly all soft wearable robots rely on textiles to distribute actuation forces to the human body; however, the mechanical hysteresis of these materials significantly complicates d…1.0Textile; Robot; Computer science; Artificial intelligence; Human–computer interaction10.1177/02783649251358840https://doi.org/10.1177/02783649251358840352-365journals/ijrr/McCannALBW26https://openalex.org/W4412587399IJRR
IJRR2026Perceive with confidence: Statistical safety assurances for navigation with learning-based perceptionZhiting Mei; Anushri Dixit; Meghan Booker; Emily Zhou; Mariko Storey-Matsutani; Allen Z. Ren; Ola Shorinwa; Anirudha MajumdarRapid advances in perception have enabled large pre-trained models to be used out of the box for transforming high-dimensional, noisy, and partial observations of the world into ri…16.0Computer Science; Engineering10.1177/02783649251378151https://doi.org/10.1177/02783649251378151938-967journals/ijrr/MeiDBZSRSM26—IJRR
+ 93,619 more rows — download the xlsx to see all 93,649.