12 accepted papers
Combining Mixture of Experts (MoE) with Low-Rank Adaptation (LoRA) has shown promising efficiency in multi-task instruction tuning for Large Language Models (LLMs). While existing routing schemes for such MoE systems employ auxiliary functions to ensure both expert selection certainty and workload b
Embodied AI (EAI) systems are rapidly transitioning from simulations into real-world domestic and other sensitive environments. However, recent EAI solutions have largely demonstrated advancements within \emph{isolated stages} such as instruction, perception, planning and interaction, without consid…
Minimally Invasive Surgery (MIS) reduces surgical risks and recovery times by enabling precise interventions around lesion sites. However, accessing these sites requires flexible instruments, which often compromise the precision afforded by rigid devices. This study proposes a thermally drawn fiber-
Soft robotic instruments offer unique advantages for minimally invasive surgery (MIS), including safe tissue interaction and adaptability within confined anatomical spaces. However, achieving both miniaturization and functionality within a single device remains a significant engineering challenge. T
Cross-domain recommendation (CDR) offers a promising solution to the data sparsity problem by enabling knowledge transfer across source and target domains. However, many recent CDR models overlook crucial issues such as privacy as well as the risk of negative transfer (which negatively impact model…
Safe and autonomous flight of quadrotors in enclosed environments still remains formidable challenge due to the aerodynamic proximity effect and restricted free space. This letter develops an integrated planning and control architecture for disturbance-aware and safety control of quadrotors. By expl
Graph federated learning (FL) has emerged as a pivotal paradigm enabling multiple agents to collaboratively train a graph model while preserving local data privacy. Yet, current efforts overlook a key issue: agents are self-interested and would hesitant to share data without fair and satisfactory i…
In recent years, Robot-Assisted Minimally Invasive Surgery (RAMIS) has been widely adopted worldwide due to its high precision, improved ergonomics and intuitive control. With the advances in artificial intelligence and surgical robot technologies, it is anticipated that the cognitive load on the su
The ubiquitous presence of three types of delay in robotic teleoperation systems, i.e., computation delay, transmission delay, and mechanical delay, is the major factor of the system degradation. It is noticeable that the transmission latency over the communication network shows a periodic trend due
Neural networks are susceptible to data inference attacks such as the membership inference attack, the adversarial model inversion attack and the attribute inference attack, where the attacker could infer useful information such as the membership, the reconstruction or the sensitive attributes of a…
We consider the problem of enhanced security of multi-robot systems to prevent cyber-attackers from taking control of one or more robots in the group. We build upon a recently proposed solution that utilizes the physical measurement capabilities of the robots to perform introspection, i.e., detect t…
In the last few years, there has been an increasing trend to consider Structure from Motion (SfM, in computer vision) and Simultaneous Localization and Mapping (SLAM, in robotics) problems from the point of view of pose averaging (also known as global SfM, in computer vision) or Pose Graph Optimizat…