Assistive robots offer agency to humans with severe motor impairments. Often, these users control high-DoF robots through low-dimensional interfaces—such as using a 1-D sip/puff interface to operate a 6-DoF robotic arm. This mismatch results in having access to only a subset of control dimensions at a given time, imposing unintended and artificial constraints on robot motion. As a result, interface-limited demonstrations embed suboptimal motions that reflect interface restrictions rather than user intent. To address this, we present a trajectory reconstruction algorithm that reasons about task, environment, and interface constraints to lift demonstrations into the robot’s full control space. We evaluate our approach using real-world demonstrations of ADL-inspired tasks performed via a 2-D joystick and 1-D sip/puff control interface, teleoperating two distinct 7-DoF robotic arms. Analyses of the reconstructed demonstrations and derived control policies show that lifted trajectories are faster and more efficient than their interface-constrained counterparts while respecting user preferences.

Study design is critical in Human-Robot Interaction (HRI) due to its highly interdisciplinary nature, that spans a wide range of domains and often presents significant hurdles for novice researchers. Building on the success of the previous years, the fourth edition of the “Workshop Your Study Design” addresses this challenge by pairing early-stage researchers with experienced mentors to refine their study designs and offering mentor-led talks on key HRI topics, tailored to this year's conference sustainability theme. Participants are invited to submit a 2–4 page study proposal focusing on methodology and data analysis. Accepted submissions are discussed in small mentor-led groups, where participants receive targeted feedback on their study designs and can also benefit from engaging in discussions about other participants' submissions. Our expert mentors this year bring expertise in areas such as participatory design, qualitative analysis and longitudinal studies. Thus, the workshop aims to foster a collaborative environment where participants can not only strengthen their study designs, but also gain valuable insights and build lasting connections within the HRI community.