activity
20242026
most citedGrounding LLMs For Robot Task Planning Using Closed-loop State Feedback

2 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO2026

Hölder Signed Distance: A Differentiable, Signed, Parallelizable Metric for Robotics

Felipe Bartelt, Ali Umut Kaypak, Anthony Tzes +3

Computing distances between sets is essential in robotic motion planning and control, where differentiable gradients enable real-time optimization. The Euclidean Signed Distance Fu…

cs.RO2025★ 1 cited

Safe Multi-Robotic Arm Interaction via 3D Convex Shapes

Ali Umut Kaypak, Shiqing Wei, Prashanth Krishnamurthy +1

Inter-robot collisions pose a significant safety risk when multiple robotic arms operate in close proximity. We present an online collision avoidance methodology leveraging High-Or…

cs.RO2024

Open-Architecture End-to-End System for Real-World Autonomous Robot Navigation

Venkata Naren Devarakonda, Ali Umut Kaypak, Raktim Gautam Goswami +4

Enabling robots to autonomously navigate unknown, complex, and dynamic real-world environments presents several challenges, including imperfect perception, partial observability, l…

cs.RO2024

MultiTalk: Introspective and Extrospective Dialogue for Human-Environment-LLM Alignment

Venkata Naren Devarakonda, Ali Umut Kaypak, Shuaihang Yuan +3

LLMs have shown promising results in task planning due to their strong natural language understanding and reasoning capabilities. However, issues such as hallucinations, ambiguitie…

cs.RO2024★ 2 cited

Grounding LLMs For Robot Task Planning Using Closed-loop State Feedback

Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy +2

Planning algorithms decompose complex problems into intermediate steps that can be sequentially executed by robots to complete tasks. Recent works have employed Large Language Mode…