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From the 1 of 11 linked papers with an AI index.

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20242026
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cs.RO2026

PixelLoop: Shortcut Topological Navigation with Pixel-Level Loops

Sarthak Chittawar, Vansh Garg, Aditya Vadali +4

PixelLoop adds loop closures directly in pixel space to create dense topological shortcuts for visual navigation, enabling more reliable any-point-to-any-point planning and improvi…

cs.RO2026

MASt3R-Nav: WayPixel Navigation in Relative 3D Maps

Vansh Garg, Rohit Jayanti, Krish Pandya +5

Visual navigation ability is strongly tied to its underlying representation of the world. Unlike classical 3D maps that require globally-consistent geometry, image- or object-relat…

cs.RO2025

ObjectReact: Learning Object-Relative Control for Visual Navigation

Sourav Garg, Dustin Craggs, Vineeth Bhat +5

Visual navigation using only a single camera and a topological map has recently become an appealing alternative to methods that require additional sensors and 3D maps. This is typi…

cs.RO2025

TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals

Stefan Podgorski, Sourav Garg, Mehdi Hosseinzadeh +3

Visual navigation in robotics traditionally relies on globally-consistent 3D maps or learned controllers, which can be computationally expensive and difficult to generalize across…

cs.RO2025

Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Krishan Rana, Jad Abou-Chakra, Sourav Garg +3

Imitation learning has unlocked the potential for robots to exhibit highly dexterous behaviours. However, it still struggles with long-horizon, multi-object tasks due to poor sampl…

cs.RO2024

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation

Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh +4

Mapping is crucial for spatial reasoning, planning and robot navigation. Existing approaches range from metric, which require precise geometry-based optimization, to purely topolog…