M
Mohan Sridharan
Researcher at University of Birmingham
Publications - 142
Citations - 1400
Mohan Sridharan is an academic researcher from University of Birmingham. The author has contributed to research in topics: Mobile robot & Domain knowledge. The author has an hindex of 19, co-authored 122 publications receiving 1214 citations. Previous affiliations of Mohan Sridharan include University of Auckland & Texas Tech University.
Papers
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Proceedings Article
Explainable Agency for Intelligent Autonomous Systems
TL;DR: Before they will be trusted by humans, autonomous agents must be able to explain their decisions and the reasoning that produced their choices, which is referred to as explainable agency.
Proceedings ArticleDOI
Practical Vision-Based Monte Carlo Localization on a Legged Robot
TL;DR: This paper proposes a series of practical enhancements designed to improve the robot’s sensory and actuator models that enable the robots to achieve a 50% improvement in localization accuracy over the baseline implementation.
Journal ArticleDOI
Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs
TL;DR: This work defines a novel hierarchical POMDP-based approach for visual processing management and shows empirically that HiPPo and CP outperform the naive application of all visual operators on all ROIs and produces more robust plans than CP or the naive visual processing.
Journal ArticleDOI
Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds
TL;DR: This paper presents an architecture that exploits the complementary strengths of declarative programming and probabilistic graphical models as a step toward addressing the challenges of deployment of robots in practical domains.
Proceedings ArticleDOI
Detecting obstacles and drop-offs using stereo and motion cues for safe local motion
TL;DR: A global color segmentation stereo method is proposed and its performance at detecting hazards against prior work using a local correlation stereo method and a novel drop-off detection scheme based on visual motion cues that adds to the performance of the stereo-vision methods is introduced.