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🔍 jacob gardner 📂 Engineering
Showing 466 results for "jacob gardner" in Engineering
Engineering Preprint PDF DOI

A Matrix-Free Galerkin Multigrid Solver and Failure-Mode Screen for Single-GPU 3D SIMP Linear Systems

Shaoliang Yang, Jun Wang, Yunsheng Wang · 2026

Large 3D SIMP studies require repeated elasticity solves for density-dependent operators whose finest matrices are expensive to assemble and whose conditioning degrades under high contrast. We study t…

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Engineering Preprint PDF DOI

Path Integral Control for Partially Observed Systems with Controlled Sensing

Goutam Das, Takashi Tanaka · 2026

Path integral control in Gaussian belief space requires a structural matching condition between the observation-driven diffusion of the belief mean and the actuation authority, which a fixed observati…

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Engineering Preprint PDF DOI

Safe Control using Learned Safety Filters and Adaptive Conformal Inference

Sacha Huriot, Ihab Tabbara, Hussein Sibai · 2026

Safety filters have been shown to be effective tools to ensure the safety of control systems with unsafe nominal policies. To address scalability challenges in traditional synthesis methods, learning-…

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Engineering Preprint PDF DOI

A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation

Hanyang Hu, Cameron Siu, Mo Chen · 2026

Autonomous navigation requires planning to reach a goal safely and efficiently in complex and potentially dynamic environments. Graph search-based algorithms are widely adopted due to their generality…

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Engineering Preprint PDF DOI

Hybrid Architecture Gets Fluid: A New Paradigm for Direction-of-arrival Estimation in 6G Networks

Ye Tian, Jiaji Ren, Tuo Wu, Wei Liu, Maged Elkashlan, Matthew C. Valenti, Naofal Al-Dhahir, Hing Cheung So · 2026

High-precision direction-of-arrival (DOA) estimation, as a key sensing capability for 6G-enabled applications such as autonomous driving and extended reality, is increasingly dependent on the effectiv…

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Engineering Preprint PDF DOI

Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle

James Dallas, Thomas Lew, John Talbot, Jonathan DeCastro, Somil Bansal, John Subosits · 2026

Safety filters provide a practical approach for enforcing safety constraints in autonomous systems. While learning-based tools scale to high-dimensional systems, their performance depends on informati…

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Engineering Preprint PDF DOI

Path Integral Control in Gaussian Belief Space for Partially Observed Systems

Goutam Das, Takashi Tanaka · 2026

This paper extends path integral control (PIC) to partially observed systems by formulating the problem in Gaussian belief space. PIC relies on the diffusion being proportional to the control channel …

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Engineering Preprint PDF DOI

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots

Yifei Yan, Linqi Ye · 2026

As reinforcement learning for humanoid robots evolves from single-task to multi-skill paradigms, efficiently expanding new skills while avoiding catastrophic forgetting has become a key challenge in e…

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Engineering Preprint PDF DOI

PAINT: Partner-Agnostic Intent-Aware Cooperative Transport with Legged Robots

Zhihao Cao, Tianxu An, Chenhao Li, Stelian Coros, Marco Hutter · 2026

Collaborative transport requires robots to infer partner intent through physical interaction while maintaining stable loco-manipulation. This becomes particularly challenging in complex environments, …

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Engineering Preprint PDF DOI

Beyond the Flat-Spike: Adaptive Sparse CCA for Decaying and Unbalanced Signals

Mengchu Xu, Jian Wang, Yonina C. Eldar · 2026

Sparse Canonical Correlation Analysis (SCCA) is a fundamental statistical tool for identifying linear relationships in high-dimensional, multi-view data. While minimax theory establishes an optimal sa…

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Engineering Preprint PDF DOI

Steering with Contingencies: Combinatorial Stabilization and Reach-Avoid Filters

Yana Lishkova, Pio Ong, Sander Tonkens, Sylvia Herbert, Aaron D. Ames · 2026

In applications such as autonomous landing and navigation, it is often desirable to steer toward a target while retaining the ability to divert to at least $r$ (out of $p$) alternative sites if condit…

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Engineering Preprint PDF DOI

Closed-Form Analytical Solution for Effective Resistance in Finite 2D Anisotropic Resistor Grids via Jacobi Theta Functions

Ruichao Liu · 2026

Computing the effective resistance between nodes in finite discrete resistor grids is a classical problem in circuit analysis with applications in VLSI power delivery network analysis, graph theory, a…

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Engineering Preprint PDF DOI

Certified Set Convergence for Piecewise Affine Systems via Neural Lyapunov Functions

Yanliang Huang, Peng Xie, Zhen Zhang, Wenyuan Wu, Zhuoqi Zeng, Amr Alanwar · 2026

Safety-critical control of piecewise affine (PWA) systems under bounded additive disturbances requires guarantees not for individual states but for entire state sets simultaneously: a single control a…

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Engineering Preprint PDF DOI

SCRAMPPI: Efficient Contingency Planning for Mobile Robot Navigation via Hamilton-Jacobi Reachability

Raj Harshit Srirangam, Leonard Jung, Rohith Poola, Michael Everett · 2026

Autonomous robots commonly aim to complete a nominal behavior while minimizing a cost; this leaves them vulnerable to failure or unplanned scenarios, where a backup or contingency plan to a safe set i…

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Engineering Preprint PDF DOI

From Global to Local: Hierarchical Probabilistic Verification for Reachability Learning

Ebonye Smith, Sampada Deglurkar, Jingqi Li, Gechen Qu, Claire J. Tomlin · 2026

Hamilton-Jacobi (HJ) reachability provides formal safety guarantees for nonlinear systems. However, it becomes computationally intractable in high-dimensional settings, motivating learning-based appro…

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Engineering Preprint PDF DOI

From Singleton Obstacles to Clutter: Translation Invariant Compositional Avoid Sets

Prashant Solanki, Jasper Van Beers, Coen De Visser · 2026

This paper studies obstacle avoidance under translation invariant dynamics using an avoid-side travel cost Hamilton Jacobi formulation. For running costs that are zero outside an obstacle and strictly…

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Engineering Preprint PDF DOI

Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations

Jun Liu · 2026

Many core problems in nonlinear systems analysis and control can be recast as solving partial differential equations (PDEs) such as Lyapunov and Hamilton-Jacobi-Bellman (HJB) equations. Physics-inform…

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Engineering Preprint PDF DOI

"You've got a friend in me": Co-Designing a Peer Social Robot for Young Newcomers' Language and Cultural Learning

Neil Fernandes, Cheng Tang, Tehniyat Shahbaz, Alex Hauschildt, Emily Davies-Robinson, Yue Hu, Kerstin Dautenhahn · 2026

Community literacy programs supporting young newcomer children in Canada face limited staffing and scarce one-to-one time, which constrains personalized English and cultural learning support. This pap…

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Engineering Preprint PDF DOI

Contingency-Aware Planning via Certified Neural Hamilton-Jacobi Reachability

Kasidit Muenprasitivej, Derya Aksaray · 2026

Hamilton-Jacobi (HJ) reachability provides formal safety guarantees for dynamical systems, but solving high-dimensional HJ partial differential equations limits its use in real-time planning. This pap…

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Engineering Preprint PDF DOI

Near-Optimal Constrained Feedback Control of Nonlinear Systems via Approximate HJB and Control Barrier Functions

Milad Alipour Shahraki, Laurent Lessard · 2026

This paper presents a two-stage framework for constrained near-optimal feedback control of input-affine nonlinear systems. An approximate value function for the unconstrained control problem is comput…

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