activity
20242026
most citedA Riemannian Take on Distance Fields and Geodesic Flows in Robotics

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents

Jiacheng Qiu, Christopher E. Mower, Jan Peters +2

Diffusion-based large language models (dLLMs) promise to break the sequential latency bottleneck of autoregressive agents through parallel decoding, but recent evaluations show thi…

cs.RO2025

Ark: An Open-source Python-based Framework for Robot Learning

Magnus Dierking, Christopher E. Mower, Sarthak Das +10

Robotics has made remarkable hardware strides-from DARPA's Urban and Robotics Challenges to the first humanoid-robot kickboxing tournament-yet commercial autonomy still lags behind…

cs.NI2025

Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach

Yanzan Sun, Jiacheng Qiu, Guangjin Pan +4

Extended reality (XR), blending virtual and real worlds, is a key application of future networks. While AI advancements enhance XR capabilities, they also impose significant comput…

cs.CV2024

Labits: Layered Bidirectional Time Surfaces Representation for Event Camera-based Continuous Dense Trajectory Estimation

Zhongyang Zhang, Jiacheng Qiu, Shuyang Cui +2

Event cameras provide a compelling alternative to traditional frame-based sensors, capturing dynamic scenes with high temporal resolution and low latency. Moving objects trigger ev…

cs.RO2024★ 1 cited

A Riemannian Take on Distance Fields and Geodesic Flows in Robotics

Yiming Li, Jiacheng Qiu, Sylvain Calinon

Distance functions are crucial in robotics for representing spatial relationships between a robot and its environment. They provide an implicit, continuous, and differentiable repr…