1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning
Lachlan Mares, Stefan Podgorski, Ian Reid
This work presents the experiments and solution outline for our teams winning submission in the Learn To Race Autonomous Racing Virtual Challenge 2022 hosted by AIcrowd. The object…
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…