mlsanityData to 7 Oct 2026

Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge

arXiv 1709.06283 ↗First posted 19 Sep 2017cs.ROcited by 19

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Abstract (arXiv)

The Amazon Robotics Challenge enlisted sixteen teams to each design a pick-and-place robot for autonomous warehousing, addressing development in robotic vision and manipulation. This paper presents the design of our custom-built, cost-effective, Cartesian robot system Cartman, which won first place in the competition finals by stowing 14 (out of 16) and picking all 9 items in 27 minutes, scoring a total of 272 points. We highlight our experience-centred design methodology and key aspects of our system that contributed to our competitiveness. We believe these aspects are crucial to building robust and effective robotic systems.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Sep 2017.

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Citing papers per year: 2021: 8; 2022: 5; 2023: 0; 2024: 3; 2025: 0; 2026: 3.

19 papers.

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  1. 2021How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learnedcited by 201
  2. 2022Navigating to Objects in the Real Worldcited by 104
  3. 2021Open-World Entity Segmentationcited by 74
  4. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  5. 2021Category-Level Metric Scale Object Shape and Pose Estimationcited by 40
  6. 2021SuctionNet-1Billion: A Large-Scale Benchmark for Suction Graspingcited by 32
  7. 2021Multi-Scale Aligned Distillation for Low-Resolution Detectioncited by 24
  8. 2022NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Cloudscited by 12
  9. 2021CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentationcited by 9
  10. 2022Synthetic-to-Real Domain Adaptation using Contrastive Unpaired Translationcited by 9
  11. 2022Mechanical Search on Shelves using a Novel "Bluction" Toolcited by 3
  12. 2024Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Graspingcited by 3
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  1. 2021Semi Supervised Deep Quick Instance Detection and Segmentationcited by 2
  2. 2022Predicting Physical Object Properties from Videocited by 2
  3. 2024Opening Articulated Structures in the Real Worldcited by 1
  4. 2024Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimationcited by 0
  5. 2026MultiGraspNet: A Multitask 3D Vision Model for Multi-gripper Robotic Graspingcited by 0
  6. 2026Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshotscited by 0
  7. 2026CAD-Prompted SAM3: Geometry-Conditioned Instance Segmentation for Industrial Objectscited by 0