Prithvi Akella

Orcid: 0000-0003-4375-0015

According to our database1, Prithvi Akella authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification.
CoRR, 2024

Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification.
Artif. Intell., 2024

Verifiable Learned Behaviors via Motion Primitive Composition: Applications to Scooping of Granular Media.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Lipschitz Continuity of Signal Temporal Logic Robustness Measures: Synthesizing Control Barrier Functions from One Expert Demonstration.
CoRR, 2023

Barrier-Based Test Synthesis for Safety-Critical Systems Subject to Timed Reach-Avoid Specifications.
CoRR, 2023

Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Probabilistic Guarantees for Nonlinear Safety-Critical Optimal Control.
IROS, 2023

Safety-Critical Controller Verification via Sim2Real Gap Quantification.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Bounding Optimality Gaps for Non-Convex Optimization Problems: Applications to Nonlinear Safety-Critical Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Barrier-Based Scenario Approach to Verifying Safety-Critical Systems.
IEEE Robotics Autom. Lett., 2022

Disturbance Bounds for Signal Temporal Logic Task Satisfaction: A Dynamics Perspective.
IEEE Control. Syst. Lett., 2022

Verifiably Safe Reinforcement Learning with Probabilistic Guarantees via Temporal Logic.
CoRR, 2022

A Scenario Approach to Risk-Aware Safety-Critical System Verification.
CoRR, 2022

A Barrier-Based Scenario Approach to Verify Safety-Critical Systems.
CoRR, 2022

Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification.
CoRR, 2022

2021
Learning Performance Bounds for Safety-Critical Systems.
CoRR, 2021

2020
Formal Verification of Safety Critical Autonomous Systems via Bayesian Optimization.
CoRR, 2020

Information-Collection in Robotic Process Monitoring: An Active Perception Approach.
CoRR, 2020

Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Set-Based Adaptive Safety Control.
CoRR, 2019


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