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10/11/2022
REMS: Middleware for Robotics Education and Development
This paper introduces REMS, a robotics middleware and control framework ...
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09/07/2022
Real-to-Sim: Deep Learning with Auto-Tuning to Predict Residual Errors using Sparse Data
Achieving highly accurate kinematic or simulator models that are close t...
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07/04/2022
Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots
While motion planning of locomotion for legged robots has shown great su...
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07/04/2022
SCALER: A Tough Versatile Quadruped Free-Climber Robot
This paper introduces SCALER, a quadrupedal robot that demonstrates clim...
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07/03/2022
Auto-Calibrating Admittance Controller for Robust Motion of Robotic Systems
We demonstrate an admittance controller with auto-tuning that can be app...
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06/24/2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
Aggregate data often appear in various fields such as socio-economics an...
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05/25/2022
Development of a Stereo-Vision Based High-Throughput Robotic System for Mouse Tail Vein Injection
In this paper, we present a robotic device for mouse tail vein injection...
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09/30/2021
An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights
Current rigid linkage grippers are limited in flexibility, and gripper d...
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05/24/2021
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
Sequences of events including infectious disease outbreaks, social netwo...
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10/09/2020
Few-shot Learning for Spatial Regression
We propose a few-shot learning method for spatial regression. Although G...
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06/16/2020
Probabilistic Optimal Transport based on Collective Graphical Models
Optimal Transport (OT) is being widely used in various fields such as ma...
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06/04/2020
Risk-Aware Motion Planning for a Limbed Robot with Stochastic Gripping Forces Using Nonlinear Programming
We present a motion planning algorithm with probabilistic guarantees for...
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07/19/2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
We propose a probabilistic model for inferring the multivariate function...
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06/21/2019
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information
Predicting when and where events will occur in cities, like taxi pick-up...
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09/21/2018