Kinova Gemini: Interactive Robot Grasping with Visual Reasoning and Conversational AI
On the map: LLM reasoning → Spatial and embodied reasoning
Abstract (arXiv)
To facilitate recent advances in robotics and AI for delicate collaboration between humans and machines, we propose the Kinova Gemini, an original robotic system that integrates conversational AI dialogue and visual reasoning to make the Kinova Gen3 lite robot help people retrieve objects or complete perception-based pick-and-place tasks. When a person walks up to Kinova Gen3 lite, our Kinova Gemini is able to fulfill the user's requests in three different applications: (1) It can start a natural dialogue with people to interact and assist humans to retrieve objects and hand them to the user one by one. (2) It detects diverse objects with YOLO v3 and recognize color attributes of the item to ask people if they want to grasp it via the dialogue or enable the user to choose which specific one is required. (3) It applies YOLO v3 to recognize multiple objects and let you choose two items for perception-based pick-and-place tasks such as "Put the banana into the bowl" with visual reasoning and conversational interaction.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Spatial and embodied reasoning, one of 17 directions in LLM reasoning. Builds on 5 of its 20 references that are in the map. First posted on arXiv 3 Sep 2022.
Builds on
5 of 20 references.
References · 5
- 2018YOLOv3: An Incremental Improvementcited by 2,652
- 2017Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrationscited by 685
- 2017Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metricscited by 259
- 2018Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approachcited by 117
- 2019Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based roboticscited by 21
Built on by
Citing papers per year: 2023: 1; 2024: 1.
2 papers.
Similar, not cited
Close in wording, no citation either way
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- 2024Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice ↗
- 2024SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction
- 2024ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models
- 2024MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting
- 2025CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation