Gokul Dharan — accepted AI-conference papers

2023

Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear

Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia +3

ICRA 2023poster

Developing embodied agents in simulation has been a key research topic in recent years. Exciting new tasks, algorithms, and benchmarks have been developed in various simulators. However, most of them assume deaf agents in silent environments, while we humans perceive the world with multiple senses.…

Cited by 12 Source ↗code ↗Scholar ↗

2021

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen +10

CoRL 2021poster

Recent research in embodied AI has been boosted by the use of simulation environments to develop and train robot learning approaches. However, the use of simulation has skewed the attention to tasks that only require what robotics simulators can simulate: motion and physical contact. We present iGib…

Cited by 268 Source ↗Scholar ↗