activity
20202026
most citedCost-effective Machine Learning Inference Offload for Edge Computing

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Recompositional Robotics: Cross-Domain, Open-set, and Lifelong Modularity Beyond Morphology

Steven Swanbeck, Jonathan Salfity, Corrie Van Sice +2

Research in modular robotics has produced capable approaches allowing a robot's morphology to change online, with recent efforts also developing approaches to decide which morpholo…

cs.RO2026

Deployment Is Not Destiny: Robot Recomposition in the Field with Unseen Software, Hardware, and Compute Payloads

Steven Swanbeck, Jonathan Salfity, Jeffery Gunawan +3

The tight coupling of subsystems in most robots, though a natural consequence of their complexity, leads to monolithic designs that are time-consuming and difficult to adapt after…

cs.RO2026

Contract-Grounded Behavior Tree Synthesis via Coding Agents

Jonathan Salfity, Robert Blake Anderson, Mitch Pryor

Synthesizing deployable robot behavior trees (BTs) from natural language (NL) requires grounding to ensure every generated BT references only skills a robot can actually execute. E…

cs.CL2026

Limited Linguistic Diversity in Embodied AI Datasets

Selma Wanna, Agnes Luhtaru, Jonathan Salfity +4

Language plays a critical role in Vision-Language-Action (VLA) models, yet the linguistic characteristics of the datasets used to train and evaluate these systems remain poorly doc…

cs.RO2024

Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks

Jonathan Salfity, Selma Wanna, Minkyu Choi +1

Recent works in Task and Motion Planning (TAMP) show that training control policies on language-supervised robot trajectories with quality labeled data markedly improves agent task…

cs.GT2022★ 1 cited

Inverse Matrix Games with Unique Quantal Response Equilibrium

Yue Yu, Jonathan Salfity, David Fridovich-Keil +1

In an inverse game problem, one needs to infer the cost function of the players in a game such that a desired joint strategy is a Nash equilibrium. We study the inverse game proble…

cs.LG2020★ 2 cited

Cost-effective Machine Learning Inference Offload for Edge Computing

Christian Makaya, Amalendu Iyer, Jonathan Salfity +2

Computing at the edge is increasingly important since a massive amount of data is generated. This poses challenges in transporting all that data to the remote data centers and clou…