54 citations · 102 across the 20 of their papers we have counts for
41 papers
NatSGLD: A Dataset with Speech, Gesture, Logic, and Demonstration for Robot Learning in Natural Human-Robot Interaction
Snehesh Shrestha, Yantian Zha, Saketh Banagiri +3
Recent advances in multimodal Human-Robot Interaction (HRI) datasets emphasize the integration of speech and gestures, allowing robots to absorb explicit knowledge and tacit unders…
Structure-from-Sherds++: Robust Incremental 3D Reassembly of Axially Symmetric Pots from Unordered and Mixed Fragment Collections
Seong Jong Yoo, Sisung Liu, Muhammad Zeeshan Arshad +7
Reassembling multiple axially symmetric pots from fragmentary sherds is crucial for cultural heritage preservation, yet it poses significant challenges due to thin and sharp fractu…
FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensors
Amir-Hossein Shahidzadeh, Gabriele Caddeo, Koushik Alapati +3
In this paper, we tackle the problem of estimating 3D contact forces using vision-based tactile sensors. In particular, our goal is to estimate contact forces over a large range (u…
Air-FAR: Fast and Adaptable Routing for Aerial Navigation in Large-scale Complex Unknown Environments
Botao He, Guofei Chen, Cornelia Fermuller +2
This paper presents a novel method for real-time 3D navigation in large-scale, complex environments using a hierarchical 3D visibility graph (V-graph). The proposed algorithm addre…
Embodiment: Self-Supervised Depth Estimation Based on Camera Models
Jinchang Zhang, Praveen Kumar Reddy, Xue-Iuan Wong +2
Depth estimation is a critical topic for robotics and vision-related tasks. In monocular depth estimation, in comparison with supervised learning that requires expensive ground tru…
WorldGen: A Large Scale Generative Simulator
Chahat Deep Singh, Riya Kumari, Cornelia Fermüller +2
In the era of deep learning, data is the critical determining factor in the performance of neural network models. Generating large datasets suffers from various difficulties such a…