activity
20192026
most citedSMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

12 citations · 18 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Pre-Execution Safety Gate & Task Safety Contracts for LLM-Controlled Robot Systems

Ike Obi, Vishnunandan L. N. Venkatesh, Weizheng Wang +5

Large Language Models (LLMs) are increasingly used to convert task commands into robot-executable code, however this pipeline lacks validation gates to detect unsafe and defective…

cs.RO2025

Few-Shot Demonstration-Driven Task Coordination and Trajectory Execution for Multi-Robot Systems

Taehyeon Kim, Vishnunandan L. N. Venkatesh, Byung-Cheol Min

Learning coordinated behaviors for multi-robot systems from only a few demonstrations is difficult because temporal task dependencies and spatial trajectory generation are tightly…

cs.RO2025

SafePlan: Leveraging Formal Logic and Chain-of-Thought Reasoning for Enhanced Safety in LLM-based Robotic Task Planning

Ike Obi, Vishnunandan L. N. Venkatesh, Weizheng Wang +5

Robotics researchers increasingly leverage large language models (LLM) in robotics systems, using them as interfaces to receive task commands, generate task plans, form team coalit…

cs.RO2024★ 1 cited

REBEL: Rule-based and Experience-enhanced Learning with LLMs for Initial Task Allocation in Multi-Human Multi-Robot Teaming

Arjun Gupte, Ruiqi Wang, Vishnunandan L. N. Venkatesh +4

Multi-human multi-robot teams are increasingly recognized for their efficiency in executing large-scale, complex tasks by integrating heterogeneous yet potentially synergistic huma…

cs.RO2024

Learning from Demonstration Framework for Multi-Robot Systems Using Interaction Keypoints and Soft Actor-Critic Methods

Vishnunandan L. N. Venkatesh, Byung-Cheol Min

Learning from Demonstration (LfD) is a promising approach to enable Multi-Robot Systems (MRS) to acquire complex skills and behaviors. However, the intricate interactions and coord…

cs.RO2024

ZeroCAP: Zero-Shot Multi-Robot Context Aware Pattern Formation via Large Language Models

Vishnunandan L. N. Venkatesh, Byung-Cheol Min

Incorporating language comprehension into robotic operations unlocks significant advancements in robotics, but also presents distinct challenges, particularly in executing spatiall…