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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.RO2026

It's Not Just More Demos: Counterfactual Action Sensitivity Coverage for Data-Efficient Robust Robot Imitation

Giovanni D'urso, Kaushik Roy, Nicholas Lawrance +1

The paper introduces Counterfactual Nuisance Behaviour Cloning (CFNBC), an offline method that selects a small set of targeted demonstration data to improve the robustness of visuo…

cs.CV2026

TOLiD: Bridging the Architecture Gap in Vision Foundation Model to LiDAR Pretraining via Token Lifting for Distillation

Sutharsan Mahendran, Darshana Priyasad, Kaushik Roy +4

Cross-modal distillation from Vision Foundation Models (VFMs) to LiDAR backbones has recently emerged as a self-supervised pretraining strategy that reduces reliance on dense point…

cs.CV2026

Visual Place Recognition in Forests with Depth-Aware Distillation

Walter Nedov, Saimunur Rahman, Kavindie Katuwandeniya +3

Visual place recognition in natural forest environments remains challenging due to repetitive vegetation, weak structural cues, and significant appearance variation across traversa…

cs.LG2026

LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning

Marco Paul E. Apolinario, Kaushik Roy

On-device learning is essential for personalization, privacy, and long-term adaptation in resource-constrained environments. Achieving this requires efficient learning, both fine-t…

cs.LG2026

SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning

Kaushik Roy, Giovanni D'urso, Nicholas Lawrance +2

A key challenge in lifelong imitation learning (LIL) is enabling agents to acquire new skills from expert demonstrations while retaining prior knowledge. This requires preserving t…

cs.CV2026

WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments

Joshua Knights, Joseph Reid, Kaushik Roy +3

Recent years have seen a significant increase in demand for robotic solutions in unstructured natural environments, alongside growing interest in bridging 2D and 3D scene understan…