23 citations · 32 across the 6 of their papers we have counts for
6 papers
Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
Aditya Pathak, Rachit Gandhi, Vaibhav Uttam +11
Since the emergence of Large Language Models (LLMs) popularized by the release of GPT-3 and ChatGPT, LLMs have shown remarkable promise in programming-related tasks. While code gen…
Nonlinear Controller Design for a Quadrotor with Inverted Pendulum
Xichen Shi, Yashwanth Kumar Nakka
The quadrotor is a degrees-of-freedom (DoF) system with underactuation. Adding a spherical pendulum on top of a quadrotor further complicates the task of achieving any output t…
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
Hiroyasu Tsukamoto, Soon-Jo Chung, Yashwanth Kumar Nakka +3
Interstellar objects (ISOs) are likely representatives of primitive materials invaluable in understanding exoplanetary star systems. Due to their poorly constrained orbits with gen…
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness
Daniel Neamati, Yashwanth Kumar Nakka, Soon-Jo Chung
Accurate gravity field models are essential for safe proximity operations around small bodies. State-of-the-art techniques use spherical harmonics or high-fidelity polyhedron shape…
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty
Yashwanth Kumar Nakka, Soon-Jo Chung
We present gPC-SCP: Generalized Polynomial Chaos-based Sequential Convex Programming to compute a sub-optimal solution for a continuous-time chance-constrained stochastic nonlinear…
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi +3
Learning-based control algorithms require data collection with abundant supervision for training. Safe exploration algorithms ensure the safety of this data collection process even…