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20152022
most citedRetrospectives on the Embodied AI Workshop

19 citations · 43 across the 5 of their papers we have counts for

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8 papers · 1 filter

cs.RO20211 cited

Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction

Gavin Suddrey, Ben Talbot, Frederic Maire

Domestic and service robots have the potential to transform industries such as health care and small-scale manufacturing, as well as the homes in which we live. However, due to the…

cs.RO20204 cited

The Robotic Vision Scene Understanding Challenge

David Hall, Ben Talbot, Suman Raj Bista +4

Being able to explore an environment and understand the location and type of all objects therein is important for indoor robotic platforms that must interact closely with humans. H…

cs.RO20209 cited

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots

Ben Talbot, David Hall, Haoyang Zhang +4

We introduce BenchBot, a novel software suite for benchmarking the performance of robotics research across both photorealistic 3D simulations and real robot platforms. BenchBot pro…

cs.RO2020

Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer

Krishan Rana, Vibhavari Dasagi, Ben Talbot +2

Learning-based approaches often outperform hand-coded algorithmic solutions for many problems in robotics. However, learning long-horizon tasks on real robot hardware can be intrac…

cs.RO2020

Robot Navigation in Unseen Spaces using an Abstract Map

Ben Talbot, Feras Dayoub, Peter Corke +1

Human navigation in built environments depends on symbolic spatial information which has unrealised potential to enhance robot navigation capabilities. Information sources such as…

cs.RO2019

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments

Krishan Rana, Ben Talbot, Vibhavari Dasagi +2

In this work we focus on improving the efficiency and generalisation of learned navigation strategies when transferred from its training environment to previously unseen ones. We p…