5 citations · 6 across the 6 of their papers we have counts for
8 papers
Introspective Perception for Mobile Robots
Sadegh Rabiee, Joydeep Biswas
Perception algorithms that provide estimates of their uncertainty are crucial to the development of autonomous robots that can operate in challenging and uncontrolled environments.…
High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization
Pranav Atreya, Haresh Karnan, Kavan Singh Sikand +3
Accurate control of robots at high speeds requires a control system that can take into account the kinodynamic interactions of the robot with the environment. Prior works on learni…
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics
Haresh Karnan, Kavan Singh Sikand, Pranav Atreya +5
One of the key challenges in high speed off road navigation on ground vehicles is that the kinodynamics of the vehicle terrain interaction can differ dramatically depending on the…
Visual Representation Learning for Preference-Aware Path Planning
Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello +3
Autonomous mobile robots deployed in outdoor environments must reason about different types of terrain for both safety (e.g., prefer dirt over mud) and deployer preferences (e.g.,…
Competence-Aware Path Planning via Introspective Perception
Sadegh Rabiee, Connor Basich, Kyle Hollins Wray +2
Robots deployed in the real world over extended periods of time need to reason about unexpected failures, learn to predict them, and to proactively take actions to avoid future fai…
Robofleet: Open Source Communication and Management for Fleets of Autonomous Robots
Kavan Singh Sikand, Logan Zartman, Sadegh Rabiee +1
Long-term deployment of a fleet of mobile robots requires reliable and secure two-way communication channels between individual robots and remote human operators for supervision an…
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
Sadegh Rabiee, Joydeep Biswas
Existing solutions to visual simultaneous localization and mapping (V-SLAM) assume that errors in feature extraction and matching are independent and identically distributed (i.i.d…
IVOA: Introspective Vision for Obstacle Avoidance
Sadegh Rabiee, Joydeep Biswas
Vision, as an inexpensive yet information rich sensor, is commonly used for perception on autonomous mobile robots. Unfortunately, accurate vision-based perception requires a numbe…