65 citations · 172 across the 14 of their papers we have counts for
4 papers · 1 filter
Control Barriers in Bayesian Learning of System Dynamics
Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti +1
This paper focuses on learning a model of system dynamics online while satisfying safety constraints. Our objective is to avoid offline system identification or hand-specified mode…
OrcVIO: Object residual constrained Visual-Inertial Odometry
Mo Shan, Vikas Dhiman, Qiaojun Feng +2
Introducing object-level semantic information into simultaneous localization and mapping (SLAM) system is critical. It not only improves the performance but also enables tasks spec…
Learning Navigation Costs from Demonstration with Semantic Observations
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
This paper focuses on inverse reinforcement learning (IRL) for autonomous robot navigation using semantic observations. The objective is to infer a cost function that explains demo…
Learning Navigation Costs from Demonstration in Partially Observable Environments
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
This paper focuses on inverse reinforcement learning (IRL) to enable safe and efficient autonomous navigation in unknown partially observable environments. The objective is to infe…