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Tianchen Ji

7 accepted papers

2025

Learning Coordinated Bimanual Manipulation Policies Using State Diffusion and Inverse Dynamics Models

ICRA 2025

When performing tasks like laundry, humans naturally coordinate both hands to manipulate objects and anticipate how their actions will change the state of the clothes. However, achieving such coordination in robotics remains challenging due to the need to model object movement, predict future states

Cited by 9SourceScholar
2025

Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation

ICRA 2025

Teleoperation is an important technology to enable supervisors to control agricultural robots remotely. However, environmental factors in dense crop rows and limitations in network infrastructure hinder the reliability of data streamed to teleoperators. These issues result in delayed and variable fr

Cited by 3SourceScholar
2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots

CoRL 2023poster

A command-following robot that serves people in everyday life must continually improve itself in deployment domains with minimal help from its end users, instead of engineers. Previous methods are either difficult to continuously improve after the deployment or require a large number of new labels d…

Cited by 8SourceScholar
2023

An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation

IROS 2023poster

The use of mobile robots in unstructured environments like the agricultural field is becoming increasingly common. The ability for such field robots to proactively identify and avoid failures is thus crucial for ensuring efficiency and avoiding damage. However, the cluttered field environment introd…

Cited by 4SourcecodeScholar
2022

Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion

RA-L 2022

Despite the rapid advancement of navigation algorithms, mobile robots often produce anomalous behaviors that can lead to navigation failures. The ability to detect such anomalous behaviors is a key component in modern robots to achieve high-levels of autonomy. Reactive anomaly detection methods iden

Cited by 69SourcecodeScholar
2022

Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance

RSS 2022poster

The number of multi-robot systems deployed in field applications has increased dramatically over the years. Despite the recent advancement of navigation algorithms, autonomous robots often encounter challenging situations where the control policy fails and the human assistance is required to resume…

Cited by 16SourcePDFScholar
2020

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments

CoRL 2020

To achieve high-levels of autonomy, modern robots require the ability to detect and recover from anomalies and failures with minimal human supervision. Multi-modal sensor signals could provide more information for such anomaly detection tasks; however, the fusion of high-dimensional and heterogeneou