24 citations · 33 across the 11 of their papers we have counts for
11 papers · 1 filter
THREAD: Trajectory Planning for Hybrid Rigid-Soft Manipulators with Environment-Aware Diffusion
Shivani Kamtikar, Pranav Asthana, Naveen Kumar Uppalapati +2
Manipulation in confined environments, such as threading a manipulator through narrow apertures, remains a fundamental challenge, especially for conventional rigid robots. Hybrid r…
CATNAV: Cached Vision-Language Traversability for Efficient Zero-Shot Robot Navigation
Aditya Potnis, Francisco Affonso, Shreya Gummadi +2
Navigating unstructured environments requires assessing traversal risk relative to a robot's physical capabilities, a challenge that varies across embodiments. We present CATNAV, a…
HyReach: Vision-Guided Hybrid Manipulator Reaching in Unseen Cluttered Environments
Shivani Kamtikar, Kendall Koe, Justin Wasserman +5
As robotic systems increasingly operate in unstructured, cluttered, and previously unseen environments, there is a growing need for manipulators that combine compliance, adaptabili…
OctoSplat: Hybrid OctoMap-Gaussian Splatting for Active Semantic Mapping and Phenotyping with Horticultural Robots
Jose Cuaran, Naveen K. Uppalapati, Girish Chowdhary
Semantic reconstruction of agricultural scenes plays a vital role in tasks such as phenotyping and yield estimation. However, traditional approaches based on manual scanning or fix…
Visual-Language-Guided Task Planning for Horticultural Robots
Jose Cuaran, Kendall Koe, Aditya Potnis +2
Crop monitoring is essential for precision agriculture, but current systems lack high-level reasoning. We introduce a novel, modular framework that uses a Vision Language Model (VL…
Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception
Kendall Koe, Poojan Kalpeshbhai Shah, Benjamin Walt +7
Due to labor shortages in specialty crop industries, a need for robotic automation to increase agricultural efficiency and productivity has arisen. Previous manipulation systems pe…
Active Semantic Mapping with Mobile Manipulator in Horticultural Environments
Jose Cuaran, Kulbir Singh Ahluwalia, Kendall Koe +2
Semantic maps are fundamental for robotics tasks such as navigation and manipulation. They also enable yield prediction and phenotyping in agricultural settings. In this paper, we…
MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
Thomas Woehrle, Arun N. Sivakumar, Naveen Uppalapati +1
Autonomous under-canopy navigation faces additional challenges compared to over-canopy settings - for example the tight spacing between the crop rows, degraded GPS accuracy and exc…
PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer
Samhita Marri, Arun N. Sivakumar, Naveen K. Uppalapati +1
Tracking plant features is crucial for various agricultural tasks like phenotyping, pruning, or harvesting, but the unstructured, cluttered, and deformable nature of plant environm…
Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment
Shivani Kamtikar, Samhita Marri, Benjamin Walt +3
For soft continuum arms, visual servoing is a popular control strategy that relies on visual feedback to close the control loop. However, robust visual servoing is challenging as i…
A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies
Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih +5
This paper is concerned with the problem of estimating (interpolating and smoothing) the shape (pose and the six modes of deformation) of a slender flexible body from multiple came…